Introduction#

This post compiles the complete course/module list for 12 Google Professional Certifications and Specializations on Coursera.

Update note (2026-04-27): The list is cross-checked from certificate/specialization pages on Coursera.

Quick Summary Table#

Total: 1148 study hours (estimated from the currently displayed Coursera durations).

1. Google AI Professional Certificate (7 courses)#

Source: Coursera ↗

1. AI Fundamentals (3 hours) View on Coursera ↗#

What you’ll learn

• Understand fundamental generative AI concepts and build a foundation for professional AI use.
• Construct effective prompts using a structured framework to generate high-quality, relevant outputs for workplace tasks.
• Evaluate AI-generated outputs for accuracy and bias and apply critical thinking to ensure responsible and ethical AI use.
• Analyze your professional workflow to identify high-impact opportunities to collaborate with AI.

Skills you’ll gain:

AI Enablement, AI powered creativity, Responsible AI, Prompt Patterns, Data Literacy, Artificial Intelligence, Data Synthesis, AI literacy, AI Personalization, LLM Application

Tools you’ll learn:

AI Workflows, Google Gemini, Generative AI, Google Workspace

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2. AI for Brainstorming and Planning (1 hour) View on Coursera ↗#

What you’ll learn

• Brainstorm project concepts by using AI as a creative partner to generate and expand on new ideas.
• Evaluate and prioritize ideas by using AI to assess them against decision criteria and frameworks.
• Strengthen project plans by using AI to identify potential gaps, risks, and dependencies in your timeline.
• Manage project documentation by building a centralized knowledge hub to keep your plans and information organized.

Skills you’ll gain:

AI Personalization, Product Automation, Artificial Intelligence, AI literacy, AI Enablement, Responsible AI, New Business Development

Tools you’ll learn:

Google Gemini, Prompt Engineering, AI Workflows, Google Workspace, Generative AI

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3. AI for Research and Insights (1 hour) View on Coursera ↗#

What you’ll learn

• Synthesize data sources using Gemini Deep Research to generate a comprehensive research report and actionable insights from multiple sources.
• Construct a research hub in NotebookLM to summarize multimodal inputs and extract key themes across different sources.
• Develop a custom AI expert using Gemini Gems to gain new perspectives on your work.
• Evaluate AI-generated findings by verifying sources and grounding all responses in source documentation.

Skills you’ll gain:

AI Personalization, Prompt Patterns, Decision Support Systems, Responsible AI, Artificial Intelligence, Ideation, AI literacy, Prompt Engineering, Generative AI Agents, AI Enablement

Tools you’ll learn:

Google Workspace, Generative AI, Google Gemini, AI Workflows

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4. AI for Writing and Communicating (1 hour) View on Coursera ↗#

What you’ll learn

• Synthesize meeting transcripts with Gemini in Google Meet to transform long discussions into clear summaries and organized to-do lists.
• Refine your work by asking Gemini to provide critical feedback and prepare for high-stakes reviews.
• Construct communication assets for different audiences with Gemini Canvas by applying distinct persona, style, and context constraints.
• Evaluate communication strategies by simulating workplace scenarios and role-playing conversations with Gemini Live.

Skills you’ll gain:

AI Enablement, Responsible AI, Persona Development, Report Writing, AI Personalization, Management Reporting, AI literacy, Artificial Intelligence, Stakeholder Analysis, Public Speaking

Tools you’ll learn:

Generative AI, Google Workspace, AI Workflows, Google Gemini

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5. AI for Content Creation (2 hours) View on Coursera ↗#

What you’ll learn

• Generate high-quality visual assets from a creative concept using Gemini’s image and video generation models.
• Transform generic slide decks into engaging visual presentations with Gemini in Google Slides.
• Establish custom design guidelines to ensure all AI-generated content aligns with brand standards.
• Critique creative assets by prompting AI to provide actionable feedback and specific improvements based on design criteria.

Skills you’ll gain:

Artificial Intelligence, Multimodal Prompts, Visual Storytelling, AI Personalization, AI powered creativity, AI literacy, AI Enablement, Creative Design, Responsible AI

Tools you’ll learn:

Google Gemini, Google Workspace, Generative AI, AI Workflows

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6. AI for Data Analysis (1 hour) View on Coursera ↗#

What you’ll learn

• Identify success metrics by using AI to analyze business objectives and determine how to accurately measure project performance.
• Clean and structure messy data by writing effective prompts to reformat and standardize unstructured information.
• Generate spreadsheet formulas using natural language instructions with Gemini in Google Sheets.
• Create data visualizations with AI to clearly communicate insights and trends.

Skills you’ll gain:

Artificial Intelligence, Simulation and Simulation Software, AI Personalization, Business Analytics, Interactive Data Visualization, Data Presentation, Performance Analysis, Responsible AI

Tools you’ll learn:

Generative AI, Google Workspace, AI Workflows, Google Gemini

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7. AI for App Building (2 hours) View on Coursera ↗#

What you’ll learn

• Analyze your professional workflow to identify high-impact opportunities where a custom AI solution can solve a specific workplace challenge.
• Construct a functional web application by using vibe coding techniques to translate natural language into working code.
• Evaluate technical issues during app development by using AI to diagnose and debug code to ensure a stable and functional prototype.
• Practice using advanced AI tools, like AI Studio, and gain confidence building more sophisticated and scalable custom solutions.

Skills you’ll gain:

AI Enablement, Artificial Intelligence, Responsible AI, AI Personalization

Tools you’ll learn:

Generative AI, Google Workspace, Google Gemini, AI Workflows

2. Google Data Analytics Professional Certificate (9 courses)#

Source: Coursera ↗

1. Foundations: Data, Data, Everywhere (13 hours) View on Coursera ↗#

What you’ll learn

• Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
• Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.
• Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.
• Describe the role of a data analyst with specific reference to jobs.

Skills you’ll gain:

Data Analysis, Business Analytics, Data Cleansing, Data Sharing, Data-Driven Decision-Making, Analytical Skills, Data Visualization Software, Spreadsheet Software, Data Processing, SQL, Data Ethics, Data Collection, Analytics, Tableau Software, Data Visualization

Tools you’ll learn:

Google Sheets

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2. Ask Questions to Make Data-Driven Decisions (15 hours) View on Coursera ↗#

What you’ll learn

• Explain how the problem-solving road map applies to typical analysis scenarios.
• Discuss the use of data in the decision-making process.
• Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.
• Describe the key ideas associated with structured thinking.

Skills you’ll gain:

Data Analysis, Communication Strategies, Stakeholder Communications, Quantitative Research, Analysis, Stakeholder Management, Smart Goals, Expectation Management, Problem Solving, Spreadsheet Software, Data-Driven Decision-Making, Analytical Skills, Data Entry

Tools you’ll learn:

Dashboard

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3. Prepare Data for Exploration (19 hours) View on Coursera ↗#

What you’ll learn

• Explain what factors to consider when making decisions about data collection.
• Discuss the difference between biased and unbiased data.
• Describe databases with references to their functions and components.
• Describe best practices for organizing data.

Skills you’ll gain:

Databases, Metadata Management, Data Quality, File Management, Data Ethics, Unstructured Data, Data Collection, SQL, Data Management, Data Security, Data Access

Tools you’ll learn:

Google Sheets, Relational Databases

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4. Process Data from Dirty to Clean (16 hours) View on Coursera ↗#

What you’ll learn

• Define different types of data integrity and identify risks to data integrity.
• Apply basic SQL functions to clean string variables in a database.
• Develop basic SQL queries for use on databases.
• Describe the process of verifying data cleaning results.

Skills you’ll gain:

Data Cleansing, Analytics, SQL, Sample Size Determination, Data Transformation, Data Validation, Data Integrity, Data Quality, Spreadsheet Software, Sampling (Statistics)

Tools you’ll learn:

Google Sheets

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5. Analyze Data to Answer Questions (26 hours) View on Coursera ↗#

What you’ll learn

• Discuss the importance of organizing your data before analysis by using sorts and filters.
• Convert and format data.
• Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.
• Describe the use of functions to conduct basic calculations on data in spreadsheets.

Skills you’ll gain:

SQL, Spreadsheet Software, Excel Formulas, Data Analysis, Data Integration, Pivot Tables And Charts, Data Manipulation, Analytics, Data Validation, Data Compilation, Data Transformation, User Feedback

Tools you’ll learn:

None listed on Coursera.

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6. Share Data Through the Art of Visualization (19 hours) View on Coursera ↗#

What you’ll learn

• Describe the use of data visualizations to talk about data and the results of data analysis.
• Identify Tableau as a data visualization tool and understand its uses.
• Explain what data driven stories are including reference to their importance and their attributes.
• Explain principles and practices associated with effective presentations.

Skills you’ll gain:

Data Visualization, Design Elements And Principles, Driving engagement, Web Content Accessibility Guidelines, Data Presentation, Dashboard Creation, Presentations, Data Storytelling, Data Visualization Software, Color Theory, Tableau Software, Data Analysis, Interactive Data Visualization

Tools you’ll learn:

Dashboard

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7. Introduction to Data Analysis Using Python (27 hours) View on Coursera ↗#

What you’ll learn

• Explain how Python is used by data professionals.
• Explore basic Python building blocks, including syntax and semantics.
• Understand loops, control statements, and string manipulation.
• Use data structures to store and organize data.

Skills you’ll gain:

Programming Principles, Analytical Skills, Data Manipulation, Data Structures, Analytics, Scripting, Object Oriented Programming (OOP), Data Analysis, Code Reusability, Data Cleansing

Tools you’ll learn:

NumPy, Python Programming, Pandas (Python Package)

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8. Google Data Analytics Capstone: Complete a Case Study (11 hours) View on Coursera ↗#

What you’ll learn

• Identify the key features and attributes of a completed case study.
• Apply the practices and procedures associated with the data analysis process to a given set of data.
• Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.
• Gain a competitive edge by learning AI skills from Google experts.

Skills you’ll gain:

Analysis, Artificial Intelligence, Data Analysis, Analytics, Interviewing Skills, Data Visualization Software, Data Cleansing, Data Visualization, Data Processing, Web Presence, AI Enablement, Spreadsheet Software, Presentations, Case Studies, Portfolio Management, Analytical Skills

Tools you’ll learn:

LinkedIn

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9. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
• Keep your applications organized with Google Sheets.
• Build a stand out resume and a step-by-step job search plan—with help from Gemini.
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

Skills you’ll gain:

Prompt Engineering Tools, Interviewing Skills, Branding, Professional Development, AI literacy, Web Presence

Tools you’ll learn:

Prompt Engineering, Generative AI, Google Gemini

3. Google AI Essentials (Specialization - 5 courses)#

Source: Coursera ↗

1. Introduction to AI (1 hour) View on Coursera ↗#

What you’ll learn

• Define the field of AI
• Explain how AI functions at a basic level, including how AI technology is trained to learn from data
• Describe the capabilities and limitations of AI tools
• Recognize the importance of human oversight when using AI

Skills you’ll gain:

Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Innovation, Model Training, AI literacy, Critical Thinking

Tools you’ll learn:

Generative AI

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2. Maximize Productivity With AI Tools (2 hours) View on Coursera ↗#

What you’ll learn

• Recognize how generative AI can be used for several different workplace applications
• Identify opportunities to leverage AI for increased productivity and optimized work processes
• Evaluate whether generative AI is an optimal tool to apply to a specific task

Skills you’ll gain:

Model Training, Business Workflow Analysis, Responsible AI, AI literacy, Complex Problem Solving, AI Enablement, Operational Efficiency, AI Integrations

Tools you’ll learn:

Google Sheets, Gemini, Google Workspace, Google Gemini, Productivity Software, Generative AI

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3. Discover the Art of Prompting (2 hours) View on Coursera ↗#

What you’ll learn

• Create prompts that provide clear and specific instructions for a variety of use cases
• Describe the role of writing effective prompts in producing generative AI output
• Apply specific prompting techniques, including few-shot prompting

Skills you’ll gain:

Content Creation, LLM Application, Prompt Patterns, Large Language Modeling, AI literacy

Tools you’ll learn:

Prompt Engineering

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4. Use AI Responsibly (1 hour) View on Coursera ↗#

What you’ll learn

• Identify AI harms and their potential impact on users and social structures
• Recognize possible privacy and security repercussions of AI use
• Explain risks and biases that are inherent to modern AI and best practices for how to approach them

Skills you’ll gain:

Critical Thinking, Data Security, Analysis, AI Security, AI literacy, Social Impact

Tools you’ll learn:

Generative AI

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5. Stay Ahead of the AI Curve (2 hours) View on Coursera ↗#

What you’ll learn

• Develop strategies to stay up-to-date in the emerging landscape of AI
• Evaluate additional AI tools and their potential for future application in the workplace
• Describe a variety of innovative ways AI has been integrated into the workplace

Skills you’ll gain:

Analysis, AI Integrations, AI literacy, Strategic Thinking, AI Enablement

Tools you’ll learn:

Generative AI

4. Google Project Management Professional Certificate (7 courses)#

Source: Coursera ↗

1. Foundations of Project Management (13 hours) View on Coursera ↗#

What you’ll learn

• Describe project management skills, roles, and responsibilities across a variety of industries.
• Explain the project management life cycle and compare different program management methodologies.
• Define organizational structure and organizational culture and explain how it impacts project management.

Skills you’ll gain:

Project planning, program management, project coordination, strategic thinking, agile project management, organizational change, project management life cycle, waterfall methodology

Tools you’ll learn:

None listed on Coursera.

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2. Project Initiation: Starting a Successful Project (15 hours) View on Coursera ↗#

What you’ll learn

• Understand the significance of the initiation phase of the project life cycle.
• Understand the key components of project charters and develop a project charter for project initiation.
• Complete a stakeholder analysis and utilize RACI charts to define and communicate project team member responsibilities.
• Evaluate various project management tools to meet project needs.

Skills you’ll gain:

Smart goals, prompt engineering tools, business writing, scope management, strategic thinking, accountability frameworks, project management life cycle, project documentation

Tools you’ll learn:

Project management software

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3. Project Planning: Putting It All Together (23 hours) View on Coursera ↗#

What you’ll learn

• Describe the components of the project planning phase and their significance.
• Identify tools and best practices to build a project plan and risk management plan.
• Describe how to estimate, track, and maintain a budget.
• Draft a communication plan and explain how to manage it.

Skills you’ll gain:

Risk management, budgeting, procurement, project planning, cost management, communication planning, technical communication, milestones (project management), project risk management

Tools you’ll learn:

None listed on Coursera.

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4. Project Execution: Running the Project (26 hours) View on Coursera ↗#

What you’ll learn

• Implement the key quality management concepts of quality standards, quality planning, quality assurance, and quality control.
• Demonstrate how to prioritize and analyze data and how to communicate a project’s data-informed story.
• Discuss the stages of team development and how to manage team dynamics.
• Describe the steps of the closing process and create project closing documentation.

Skills you’ll gain:

Risk management, project documentation, quality assessment, project management, project management life cycle, stakeholder communications, project risk management, quality assurance

Tools you’ll learn:

Project management software

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5. Agile Project Management (20 hours) View on Coursera ↗#

What you’ll learn

• Explain the Agile project management approach and philosophy, including values and principles.
• Discuss the pillars of Scrum and how they support Scrum values.
• Describe the five important Scrum events and how to set up each event for a Scrum team.
• Explain how to coach an Agile team and help them overcome challenges.

Skills you’ll gain:

Coaching, backlogs, organizational change, product roadmaps, team management, user story, sprint planning, agile software development, agile product development, sprint retrospectives, prioritization

Tools you’ll learn:

None listed on Coursera.

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6. Capstone: Applying Project Management in the Real World (38 hours) View on Coursera ↗#

What you’ll learn

• Develop a comprehensive project charter using research and relevant documentation.
• Determine quality standards and evaluate against those standards to ensure that the project is achieving the required level of quality.
• Develop effective stakeholder reports by applying storytelling strategies to describe data.

Skills you’ll gain:

Project planning, milestones (project management), stakeholder engagement, smart goals, AI enablement, meeting facilitation, quality assurance, project coordination, stakeholder communications

Tools you’ll learn:

None listed on Coursera.

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7. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
• Keep your applications organized with Google Sheets.
• Build a stand out resume and a step-by-step job search plan—with help from Gemini.
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

Skills you’ll gain:

Prompt engineering tools, interviewing skills, branding, professional development, AI literacy, web presence

Tools you’ll learn:

Prompt engineering, generative AI, Google Gemini

5. Google Cybersecurity Professional Certificate (9 courses)#

Source: Coursera ↗

1. Foundations of Cybersecurity (10 hours) View on Coursera ↗#

What you’ll learn

• Recognize core skills and knowledge needed to become a cybersecurity analyst
• Explain security ethics
• Identify how security attacks impact business operations
• Identify common tools used by cybersecurity analysts

Skills you’ll gain:

Cyber Risk, Security Controls, Cyber Attacks, Security Management, Network Analysis, Cybersecurity, Security Information and Event Management (SIEM), Network Security, Information Assurance, Data Ethics

Tools you’ll learn:

None listed on Coursera.

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2. Play It Safe: Manage Security Risks (9 hours) View on Coursera ↗#

What you’ll learn

• Identify the primary threats, risks, and vulnerabilities to business operations
• Examine how organizations use security frameworks and controls to protect business operations
• Define commonly used Security Information and Event Management (SIEM) tools
• Use a playbook to respond to threats, risks, and vulnerabilities

Skills you’ll gain:

Risk Analysis, Security Management, Business Risk Management, Risk Mitigation, Cyber Risk, Computer Security, Vulnerability Management, Auditing, Risk Management, Event Monitoring, Security Controls

Tools you’ll learn:

Open Web Application Security Project (OWASP)

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3. Connect and Protect: Networks and Network Security (12 hours) View on Coursera ↗#

What you’ll learn

• Define the types of networks and components of networks
• Illustrate how data is sent and received over a network
• Understand how to secure a network against intrusion tactics
• Describe system hardening techniques

Skills you’ll gain:

TCP/IP, Cloud Computing, Virtual Private Networks (VPN), Network Model, Cybersecurity, Network Architecture, Vulnerability Assessments, Network Protocols, General Networking, Cloud Security

Tools you’ll learn:

Firewall

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4. Tools of the Trade: Linux and SQL (23 hours) View on Coursera ↗#

What you’ll learn

• Explain the relationship between operating systems, applications, and hardware
• Compare a graphical user interface to a command line interface
• Navigate and manage the file system using Linux commands via the Bash shell
• Use SQL to retrieve information from a database

Skills you’ll gain:

User Accounts, File Systems, Authorization (Computing), SQL, Computer Systems, File Management, Linux Administration, Authentications, Linux Commands

Tools you’ll learn:

Operating Systems, Linux, Query Languages, Bash (Scripting Language), Unix Shell, Command-Line Interface, Relational Databases

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5. Assets, Threats, and Vulnerabilities (19 hours) View on Coursera ↗#

What you’ll learn

• Classify assets
• Analyze an attack surface to find risks and vulnerabilities
• Identify threats, such as social engineering, malware and web-based exploits
• Summarize the threat modeling process

Skills you’ll gain:

Vulnerability Management, Threat Modeling, Risk Management Framework, Cyber Risk, Cybersecurity, Identity and Access Management, Authentications, Vulnerability Assessments, Threat Detection

Tools you’ll learn:

MITRE ATT&CK Framework

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6. Sound the Alarm: Detection and Response (18 hours) View on Coursera ↗#

What you’ll learn

• Identify the steps to contain, eradicate, and recover from an incident
• Analyze packets to interpret network communications
• Understand basic syntax, components of signatures and logs in Intrusion Detection Systems (IDS) and Network Intrusion Detection Systems (NIDS) tools
• Perform queries in Security Information and Event Management (SIEM) tools to investigate an event

Skills you’ll gain:

Endpoint Detection and Response, Continuous Monitoring, Incident Management, Incident Response, Threat Detection, Event Monitoring, Network Analysis, Network Monitoring

Tools you’ll learn:

Query Languages, Splunk

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7. Automate Cybersecurity Tasks with Python (25 hours) View on Coursera ↗#

What you’ll learn

• Explain how the Python programming language is used in cybersecurity
• Create new, user-defined Python functions
• Use regular expressions to extract information from text
• Practice debugging code

Skills you’ll gain:

Scripting, Computer Programming, Algorithms, Data Structures, File I/O, Debugging, Cybersecurity, Maintainability, Programming Principles, Automation, Data Import/Export, IT Automation

Tools you’ll learn:

Python Programming

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8. Put It to Work: Prepare for Cybersecurity Jobs (11 hours) View on Coursera ↗#

What you’ll learn

• Determine when and how to escalate a security incident
• Engage with the cybersecurity community
• Apply for cybersecurity jobs and prepare for interviews
• Gain a competitive edge by learning AI skills from Google experts

Skills you’ll gain:

Data Security, Incident Response, Cybersecurity, Incident Management, Artificial Intelligence, Technical Communication, Computer Security Incident Management, Cyber Threat Intelligence

Tools you’ll learn:

AI Workflows, Generative AI

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9. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer
• Keep your applications organized with Google Sheets
• Build a stand out resume and a step-by-step job search plan—with help from Gemini
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live

Skills you’ll gain:

Prompt Engineering Tools, Interviewing Skills, Branding, Professional Development, AI literacy, Web Presence

Tools you’ll learn:

Prompt Engineering, Generative AI, Google Gemini

6. Google IT Support Professional Certificate (6 courses)#

Source: Coursera ↗

1. Technical Support Fundamentals (19 hours) View on Coursera ↗#

What you’ll learn

• Understand how the binary system works.
• Assemble a computer from scratch.
• Choose and install an operating system on a computer.
• Understand what the Internet is, how it works, and the impact it has in the modern world.
• Learn how applications are created and how they work under the hood of a computer.
• Utilize common problem-solving methodologies and soft skills in an Information Technology setting.

Skills you’ll gain:

Information Technology, System Support, Package and Software Management, Hardware Troubleshooting, Customer Support, General Networking, Computer Hardware, Software Documentation, Desktop Support

Tools you’ll learn:

Linux

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2. The Bits and Bytes of Computer Networking (22 hours) View on Coursera ↗#

What you’ll learn

• Describe computer networks in terms of a five-layer model.
• Understand all of the standard protocols involved with TCP/IP communications.
• Grasp powerful network troubleshooting tools and techniques.
• Learn network services like DNS and DHCP that help make computer networks run.
• Understand cloud computing, everything as a service, and cloud storage.

Skills you’ll gain:

Network Protocols, Network Troubleshooting, Data Integrity, Network Security, Network Routing, Network Administration, Computer Networking, Virtual Private Networks (VPN), Routing Protocols, Network Routers, Network Infrastructure, Wireless Networks, Network Model, TCP/IP, Networking Hardware, General Networking

Tools you’ll learn:

OSI Models, Dynamic Host Configuration Protocol (DHCP)

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3. Operating Systems and You: Becoming a Power User (28 hours) View on Coursera ↗#

What you’ll learn

• Navigate the Windows and Linux filesystems using a graphical user interface and command line interpreter.
• Set up users, groups, and permissions for account access.
• Install, configure, and remove software on the Windows and Linux operating systems.
• Configure disk partitions and filesystems.
• Understand how system processes work and how to manage them.
• Work with system logs and remote connection tools.
• Utilize operating system knowledge to troubleshoot common issues in an IT Support role.

Skills you’ll gain:

File Management, Desktop Support, User Accounts, Package and Software Management, OS Process Management, Operating System Administration, Linux Commands, User Provisioning, Linux Administration, Software Installation, Remote Access Systems, Technical Support and Services, System Monitoring, System Support, File Systems, Systems Administration

Tools you’ll learn:

Operating Systems, Microsoft Windows, Command-Line Interface, Linux

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4. System Administration and IT Infrastructure Services (24 hours) View on Coursera ↗#

What you’ll learn

• Utilize best practices for choosing hardware, vendors, and services for your organization.
• Understand how the most common infrastructure services that keep an organization running work, and how to manage infrastructure servers.
• Utilize industry tools to manage computers, user information, and user productivity.
• Identify how to recover your organization’s IT infrastructure in the event of a disaster.

Skills you’ll gain:

Data Maintenance, Data Storage, Network Infrastructure, Servers, Lightweight Directory Access Protocols, Server Administration, Network Administration, System Configuration, Infrastructure Architecture, Technical Consulting, Cloud Computing, IT Infrastructure, Disaster Recovery, Cloud Infrastructure, Cloud Services, Cloud Management, Systems Administration, Information Technology

Tools you’ll learn:

Active Directory

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5. IT Security: Defense against the digital dark arts (23 hours) View on Coursera ↗#

What you’ll learn

• Understand how various encryption algorithms and techniques work as well as their benefits and limitations.
• Understand various authentication systems and types.
• Understand the difference between authentication and authorization.
• Evaluate potential risks and recommend ways to reduce risk.
• Recommend ways to secure a network.
• Help others to understand cybersecurity concepts and methodologies.
• Troubleshoot common security issues with an end-to-end understanding.

Skills you’ll gain:

IT Security Architecture, Cybersecurity, Network Security, Authorization (Computing), Information Systems Security, Hardening, Computer Security Awareness Training, Threat Management, Authentications, Cryptographic Protocols, Cryptography, Malware Protection, Encryption, Security Awareness, Security Strategy, Threat Detection, Security Controls, Identity and Access Management, AI Security

Tools you’ll learn:

Firewall

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6. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
• Build a stand out resume and a step-by-step job search plan—with help from Gemini.
• Keep your applications organized with Google Sheets.
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

Skills you’ll gain:

Prompt Engineering Tools, Interviewing Skills, Branding, Professional Development, AI literacy, Web Presence

Tools you’ll learn:

Prompt Engineering, Generative AI, Google Gemini

7. Google Digital Marketing & E-commerce Professional Certificate (8 courses)#

Source: Coursera ↗

1. Foundations of Digital Marketing and E-commerce (12 hours) View on Coursera ↗#

What you’ll learn

• Define the fields of digital marketing and e-commerce
• Describe the job responsibilities of an entry-level digital marketer and e-commerce specialist
• Explain the concept of a marketing funnel
• Understand the elements and goals of a digital marketing and e-commerce strategy

Skills you’ll gain:

Marketing Planning, Digital Media Strategy, Marketing Strategies, Performance Metric, Customer Engagement, Brand Awareness, Search Engine Optimization, Branding, Digital Marketing, Web Analytics and SEO, Data-Driven Decision-Making, Marketing Analytics, E-Commerce, Performance marketing, Data Storytelling, Performance Measurement, Email Marketing, Conversion Funnel Analysis, Marketing, Search Engine Marketing

Tools you’ll learn:

None listed on Coursera.

2. Attract and Engage Customers with Digital Marketing (14 hours) View on Coursera ↗#

What you’ll learn

• Recognize strategies to build brand awareness among potential customers
• Explain the purpose of SEO (search engine optimization) and essential SEO terms
• Optimize website content for SEO
• Understand search engine marketing (SEM) and how it benefits businesses

Skills you’ll gain:

Customer Analysis, Target Audience, Marketing Strategies, Search Engine Optimization, Persona Development, Marketing Strategy and Techniques, Conversion Funnel Analysis, Digital Advertising, Online Advertising, Customer Engagement, Keyword Research, Advertising Campaigns, Search Engine Marketing, Content Optimization, Digital Marketing

Tools you’ll learn:

Google Ads

3. From Likes to Leads: Interact with Customers Online (21 hours) View on Coursera ↗#

What you’ll learn

• Define social media marketing and describe its purpose
• Identify core pillars of social media marketing: strategy, planning and publishing, listening and engagement, analytics and reporting, advertising
• Define the goals of a social media campaign
• Write, design, and repurpose engaging content for social media

Skills you’ll gain:

Content Scheduling, Marketing Analytics, Paid media, Content Creation, Social Media Management, Digital Advertising, Drive Engagement, Content Performance Analysis, Social Media Strategy, Advertising, Social Media Marketing, Branding, Social Media Campaigns, Customer Engagement, Driving engagement, Brand Awareness, Advertising Campaigns, Social Media Content, Digital Media Strategy, Brand Management

Tools you’ll learn:

None listed on Coursera.

4. Think Outside the Inbox: Email Marketing (19 hours) View on Coursera ↗#

What you’ll learn

• Understand how email marketing fits into a digital marketing strategy
• Write effective email copy, subject lines, and preview text
• Test, execute, and optimize an email marketing campaign
• Measure and analyze email campaign results

Skills you’ll gain:

Data Ethics, Email Automation, Campaign Planning, Promotional Strategies, Email Marketing, Copywriting, Marketing Strategy and Techniques, Marketing Automation, Personally Identifiable Information, Campaign Management, Key Performance Indicators (KPIs), Digital Marketing, Digital Marketing Campaigns, Marketing Analytics, Information Privacy, Smart Goals, Goal Setting, Customer Retention

Tools you’ll learn:

Digital Marketing Tools, HubSpot CRM

5. Assess for Success: Marketing Analytics and Measurement (18 hours) View on Coursera ↗#

What you’ll learn

• Define media planning and strategies
• Describe what defines a successful marketing campaign
• Evaluate metrics against performance goals and make adjustments to a marketing budget or strategy
• Create presentations and reports to update stakeholders on the progress or success of a marketing campaign and important insights

Skills you’ll gain:

Campaign Management, Marketing Effectiveness, Media Planning, Spreadsheet Software, Data Presentation, Paid media, Marketing Budgets, Pivot Tables And Charts, Marketing Planning, Data Visualization, Data-Driven Marketing, Key Performance Indicators (KPIs), Performance Measurement, Digital Marketing, A/B Testing, Return On Investment, Digital Marketing Campaigns, Marketing Analytics

Tools you’ll learn:

Google Analytics, Google Ads

6. Make the Sale: Build, Launch, and Manage E-commerce Stores (15 hours) View on Coursera ↗#

What you’ll learn

• Understand essential e-commerce strategies and practices
• Explain what e-commerce stores and platforms are and how they work
• Create an engaging customer experience online using best practices
• Set up a mock e-commerce store using Shopify

Skills you’ll gain:

Retail Store Operations, Order Delivery, Online Advertising, Campaign Management, Marketing, Digital Advertising, Advertising Campaigns, Marketing Strategies, Order Fulfillment, Market Trend, Sales, Shipping and Receiving, General Sales Practices, Order Processing, Order Management, Customer experience improvement, Retail Management, Market Research, E-Commerce

Tools you’ll learn:

Google Ads

7. Satisfaction Guaranteed: Develop Customer Loyalty Online (15 hours) View on Coursera ↗#

What you’ll learn

• Identify common strategies for building customer loyalty in e-commerce.
• Successfully manage client relationships and measure satisfaction.
• Gain a competitive edge by learning AI skills from Google experts.
• Put together a portfolio and/or resume to present to employers.

Skills you’ll gain:

Presentations, Performance Analysis, Loyalty Programs, Client Services, Digital Marketing, Customer Relationship Building, Conversion Funnel Analysis, Customer Insights, Brand Loyalty, Web Analytics, Customer Relationship Management, Customer Retention, E-Commerce, Customer Analysis, Product Improvement, Digital Analysis, Relationship Management, Customer Service, Customer Engagement

Tools you’ll learn:

Digital Marketing Tools

8. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
• Keep your applications organized with Google Sheets.
• Build a stand out resume and a step-by-step job search plan—with help from Gemini.
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

Skills you’ll gain:

Prompt Engineering Tools, Interviewing Skills, Branding, Professional Development, AI literacy, Web Presence

Tools you’ll learn:

Prompt Engineering, Generative AI, Google Gemini

8. Google UX Design Professional Certificate (8 courses)#

Source: Coursera ↗

1. Foundations of User Experience (UX) Design (12 hours) View on Coursera ↗#

What you’ll learn

• Identify common job responsibilities of entry-level UX designers and other teams you might work with.
• Understand foundational concepts in UX design, such as user-centered design, the design process, accessibility, and equity-focused design.
• Explain why design sprints are an important and useful part of a UX designer’s work.

Skills you’ll gain:

Prototyping, Design Thinking, UI/UX Research, User Research, User Centered Design, User Experience Design, Ideation, User Experience, Sprint Planning, Sprint Retrospectives, Usability, Wireframing

Tools you’ll learn:

None listed on Coursera.

2. Start the UX Design Process: Empathize, Define, and Ideate (20 hours) View on Coursera ↗#

What you’ll learn

• Empathize with users to understand their needs and pain points.
• Develop problem statements to define user needs.
• Generate ideas for possible solutions to user problems.

Skills you’ll gain:

Competitive Analysis, Human Centered Design, Persona Development, Ideation, Web Content Accessibility Guidelines, User Research, Human Factors, User Centered Design, Solution Design, Persona (User Experience), User Story, Design Thinking, User Experience, UI/UX Research, User Experience Design

Tools you’ll learn:

None listed on Coursera.

3. Build Wireframes and Low-Fidelity Prototypes (12 hours) View on Coursera ↗#

What you’ll learn

• Create storyboards to come up with ideas about solutions to user needs.
• Create wireframes on paper and digitally in the design tool Figma.
• Build paper prototypes to create interactive designs.
• Design low-fidelity prototypes in Figma.

Skills you’ll gain:

User Interface and User Experience (UI/UX) Design, Interactive Design, User Interface (UI), User Research, Storyboarding, User Story, Design Elements And Principles, Wireframing, User Experience, Persona (User Experience), Prototyping, User Experience Design, Information Architecture

Tools you’ll learn:

Figma (Design Software)

4. Conduct UX Research and Test Early Concepts (15 hours) View on Coursera ↗#

What you’ll learn

• Plan and conduct moderated and unmoderated usability studies.
• Synthesize observations from usability studies and come up with insights.
• Share research methodology and insights using persuasive presentation skills.
• Modify low-fidelity designs based on research insights.

Skills you’ll gain:

User Experience, Wireframing, Usability Testing, Prototyping, User Interface and User Experience (UI/UX) Design, User Experience Design, Information Privacy, Presentations, User Research, Data Ethics, UI/UX Research, Design Research, Research Design, Usability

Tools you’ll learn:

None listed on Coursera.

5. Create High-Fidelity Designs and Prototypes in Figma (19 hours) View on Coursera ↗#

What you’ll learn

• Build mockups and high-fidelity prototypes in the design tool Figma.
• Define and apply common visual design elements and principles.
• Demonstrate how design systems can be used to organize, standardize, and enhance designs.
• Understand the role of design critique sessions and feedback while iterating on designs.

Skills you’ll gain:

Animations, Interaction Design, User Experience, Design Research, Design Reviews, Motion Graphics, Graphic and Visual Design, User Interface (UI) Design, Color Theory, Typography, User Experience Design, Mockups, Interactive Design, Prototyping, Design Elements And Principles, Usability Testing, Technical Communication, Usability, User Interface and User Experience (UI/UX) Design

Tools you’ll learn:

Figma (Design Software)

6. Build Dynamic User Interfaces (UI) for Websites (15 hours) View on Coursera ↗#

What you’ll learn

• Apply each step of the UX design thinking framework (empathize, define, ideate, prototype, test) to create a dynamic website.
• Plan information architecture and sitemaps for website designs.
• Apply common layouts for web pages.
• Complete a design project and include it in your professional UX portfolio.

Skills you’ll gain:

User Experience, Mockups, Layout Design, Usability Testing, Software Design Documents, User Centered Design, Design Research, Responsive Web Design, Information Architecture, Design Reviews, Prototyping, Wireframing, Web Design, User Research, User Interface and User Experience (UI/UX) Design, User Interface (UI) Design, User Experience Design

Tools you’ll learn:

Figma (Design Software)

7. Design a User Experience for Social Good & Prepare for Jobs (13 hours) View on Coursera ↗#

What you’ll learn

• Apply each step of the UX design thinking framework (empathize, define, ideate, prototype, test) to create a project focused on social good.
• Build wireframes, mockups, and low-fidelity and high-fidelity prototypes for a dedicated mobile app and a responsive website.
• Prepare to successfully interview for an entry-level UX design job.
• Gain a competitive edge by learning AI skills from Google experts

Skills you’ll gain:

UI/UX Research, Experience Design, Human Centered Design, User Experience Design, Usability, Responsive Web Design, Usability Testing, Design Strategies, Web Design, Ideation, Prototyping, Cross Platform Development, User Experience, User Interface and User Experience (UI/UX) Design, User Centered Design, Web Presence, Design Research, Design Thinking

Tools you’ll learn:

Generative AI

8. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
• Keep your applications organized with Google Sheets.
• Build a stand out resume and a step-by-step job search plan—with help from Gemini.
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

Skills you’ll gain:

Prompt Engineering Tools, Interviewing Skills, Branding, Professional Development, AI literacy, Web Presence

Tools you’ll learn:

Prompt Engineering, Generative AI, Google Gemini

9. Google Advanced Data Analytics Professional Certificate (7 courses)#

Source: Coursera ↗

1. Foundations of Data Science (20 hours) View on Coursera ↗#

What you’ll learn

• Understand common careers and industries that use advanced data analytics.
• Investigate the impact data analysis can have on decision-making.
• Explain how data professionals preserve data privacy and ethics.
• Develop a project plan considering roles and responsibilities of team members.

Skills you’ll gain:

Machine Learning, Data-Driven Decision-Making, Business Solutions, Workflow Management, Analytics, Communication, Stakeholder Communications, Advanced Analytics, Technical Communication, Process Design, Data Science, Project Management, Analytical Skills, Data Storytelling, Data Ethics, Data Analysis

Tools you’ll learn:

None listed on Coursera.

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2. Go Beyond the Numbers: Translate Data into Insights (28 hours) View on Coursera ↗#

What you’ll learn

• Apply the exploratory data analysis (EDA) process.
• Explore the benefits of structuring and cleaning data.
• Investigate raw data using Python.
• Create data visualizations using Tableau.

Skills you’ll gain:

Data Transformation, Data Validation, Tableau Software, Data Wrangling, Data Presentation, Data Manipulation, Data Quality, Data Visualization, Exploratory Data Analysis, Data Science, Data Preprocessing, Data Analysis Software, Data Cleansing, Data Visualization Software, Data Storytelling, Data Ethics, Analysis, Technical Communication, Data Analysis

Tools you’ll learn:

Python Programming

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3. The Power of Statistics (31 hours) View on Coursera ↗#

What you’ll learn

• Explore and summarize a dataset.
• Use probability distributions to model data.
• Conduct a hypothesis test to identify insights about data.
• Perform statistical analyses using Python.

Skills you’ll gain:

Analytics, Statistical Analysis, Statistics, Statistical Programming, Statistical Inference, Data Analysis, Advanced Analytics, Statistical Methods, Probability & Statistics, Probability Distribution, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, Probability, Descriptive Statistics, A/B Testing

Tools you’ll learn:

Python Programming, Statistical Software

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4. Regression Analysis: Simplify Complex Data Relationships (28 hours) View on Coursera ↗#

What you’ll learn

• Investigate relationships in datasets.
• Identify regression model assumptions.
• Perform linear and logistic regression using Python.
• Practice model evaluation and interpretation.

Skills you’ll gain:

Predictive Modeling, Variance Analysis, Regression Analysis, Statistical Methods, Machine Learning, Model Evaluation, Logistic Regression, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Predictive Analytics, Correlation Analysis, Supervised Learning

Tools you’ll learn:

Python Programming

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5. The Nuts and Bolts of Machine Learning (34 hours) View on Coursera ↗#

What you’ll learn

• Identify characteristics of the different types of machine learning.
• Prepare data for machine learning models.
• Build and evaluate supervised and unsupervised learning models using Python.
• Demonstrate proper model and metric selection for a machine learning algorithm.

Skills you’ll gain:

Machine Learning Algorithms, Decision Tree Learning, Model Training, Model Evaluation, Performance Tuning, Advanced Analytics, Supervised Learning, Statistical Machine Learning, Unsupervised Learning, Random Forest Algorithm, Applied Machine Learning, Predictive Modeling, Model Optimization, Feature Engineering, Analytics, Machine Learning

Tools you’ll learn:

Classification Algorithms, Python Programming

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6. Google Advanced Data Analytics Capstone (6 hours) View on Coursera ↗#

What you’ll learn

• Examine data to identify patterns and trends.
• Build models using machine learning techniques.
• Create data visualizations.
• Explore career resources.

Skills you’ll gain:

Data Presentation, Data Analysis, Portfolio Management, Data Science, Machine Learning Methods, AI literacy, Artificial Intelligence, Applied Machine Learning, Data Visualization, Advanced Analytics, Statistical Modeling, Machine Learning, Analytical Skills, Regression Analysis, Statistical Analysis

Tools you’ll learn:

Python Programming

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7. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
• Keep your applications organized with Google Sheets.
• Build a stand out resume and a step-by-step job search plan—with help from Gemini.
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

Skills you’ll gain:

Prompt Engineering Tools, Interviewing Skills, Branding, Professional Development, AI literacy, Web Presence

Tools you’ll learn:

Prompt Engineering, Generative AI, Google Gemini

10. Google IT Automation with Python Professional Certificate (7 courses)#

Source: Coursera ↗

1. Crash Course on Python (21 hours) View on Coursera ↗#

What you’ll learn

• Understand what Python is and why Python is relevant to automation
• Write short Python scripts to perform automated actions
• Understand how to use the basic Python structures: strings, lists, and dictionaries
• Create your own Python objects

Skills you’ll gain:

Computational Thinking, Data Structures, Scripting Languages, Scripting, Data Store, Computer Programming Tools, Program Development, Computer Programming, Development Environment, Programming Principles, Debugging

Tools you’ll learn:

Integrated Development Environments, Python Programming

2. Using Python to Interact with the Operating System (33 hours) View on Coursera ↗#

What you’ll learn

• Setup, configure, and use your own developer environment in Python
• Manipulate files and processes running on the Operating System using Python
• Understand and use regular expressions (regex), a powerful tool for processing text files
• Know when to choose Bash or Python, and create small scripts using Bash

Skills you’ll gain:

Development Testing, Scripting, Unit Testing, Scripting Languages, File Management, Development Environment, File I/O, Test Driven Development (TDD), Test Script Development, Test Automation, OS Process Management, Linux Commands, Software Testing

Tools you’ll learn:

Unix Commands, Linux, Bash (Scripting Language), Unix Shell, Command-Line Interface, Shell Script, Operating Systems

3. Introduction to Git and GitHub (20 hours) View on Coursera ↗#

What you’ll learn

• Understand why version control is a fundamental tool for coding and collaboration
• Install and run Git on your local machine
• Use and interact with GitHub
• Collaborate with others through remote repositories

Skills you’ll gain:

Software Configuration Management, Version Control, Software Installation, Issue Tracking, CI/CD, Continuous Integration, Software Versioning, Code Review

Tools you’ll learn:

Command-Line Interface, GitHub, Git (Version Control System), Collaborative Software

4. Troubleshooting and Debugging Techniques (19 hours) View on Coursera ↗#

What you’ll learn

• Analyze real-world IT problems and implement the appropriate strategies to solve those problems
• Demonstrate techniques to quickly find and solve the root cause of problems in IT infrastructure
• Understand the root cause for problems related to speed, crashes, or exhausted resources in your computer
• Identify the most common pitfalls of your code and how to fix them

Skills you’ll gain:

Continuous Integration, Problem Management, Debugging, Technical Communication, Technical Documentation, System Monitoring, Performance Tuning, Memory Management, Incident Management, Capacity Management, Continuous Monitoring, Network Troubleshooting

Tools you’ll learn:

None listed on Coursera.

5. Configuration Management and the Cloud (18 hours) View on Coursera ↗#

What you’ll learn

• Understand the benefits of configuration management and infrastructure as code
• Manage a fleet of computers using Puppet
• Automatically deploy new virtual machines running in the Cloud
• Deploy changes in a safe manner following CICD principles

Skills you’ll gain:

Cloud Infrastructure, Cloud Management, Disaster Recovery, Cloud Services, IT Automation, Infrastructure as Code (IaC), Incident Response, Configuration Management, Continuous Monitoring, Cloud Computing, Software As A Service, Cloud Deployment, Incident Management, System Monitoring, Change Control

Tools you’ll learn:

Cloud Storage, Infrastructure As A Service (IaaS), Puppet (Configuration Management Tool), Virtual Machines, Terraform

6. Automating Real-World Tasks with Python (17 hours) View on Coursera ↗#

What you’ll learn

• Use Python external libraries to create and modify documents, images, and messages
• Understand and use Application Programming Interfaces (APIs) to interact with web services
• Understand and use data serialization to send messages between running programs
• Build a solution using the skills you have learned

Skills you’ll gain:

Scripting, IT Automation, System Monitoring, Web Services, Email Automation, Automation

Tools you’ll learn:

Application Programming Interface (API), Restful API, JSON, Python Programming

7. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
• Keep your applications organized with Google Sheets.
• Build a stand out resume and a step-by-step job search plan—with help from Gemini.
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

Skills you’ll gain:

Prompt Engineering Tools, Interviewing Skills, Branding, Professional Development, AI literacy, Web Presence

Tools you’ll learn:

Prompt Engineering, Generative AI, Google Gemini

11. Google Prompting Essentials (Specialization - 4 courses)#

Source: Coursera ↗

1. Start Writing Prompts like a Pro (2 hours) View on Coursera ↗#

What you’ll learn

• Define prompting in reference to generative AI tools.
• Recognize and apply the prompting framework (task, context, references, evaluate, iterate) to create effective prompts.
• Understand the importance of evaluating outputs and refining prompts as key to receiving the outputs you want.

Skills you’ll gain:

AI literacy, Prompt Patterns, Prompt Engineering Tools, Context Engineering, Responsible AI, Multimodal Prompts

Tools you’ll learn:

Prompt Engineering

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2. Design Prompts for Everyday Work Tasks (1 hour) View on Coursera ↗#

What you’ll learn

• Apply the prompting framework to draft text content, help with brainstorming, create tables and timelines, and summarize lengthy text.
• Apply prompting strategies to adjust the particular tone and style of text output.
• Understand the benefits of long context windows.

Skills you’ll gain:

AI Enablement, AI literacy, Concision, Brainstorming, LLM Application, Taking Meeting Minutes, Business Writing, AI powered creativity, Email Automation, Context Engineering, Ideation, Timelines

Tools you’ll learn:

Prompt Engineering

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3. Speed Up Data Analysis and Presentation Building (1 hour) View on Coursera ↗#

What you’ll learn

• Apply the prompting framework to extract insights from data, identify and fix spreadsheet formulas, and explore data visualization.
• Develop a responsible prompting practice when entering data into generative AI tools.
• Understand AI sampling parameters, how they work, and strategies for their use.

Skills you’ll gain:

Spreadsheet Software, Data Analysis, Data Visualization, Data Presentation, Responsible AI, Graphing, Prompt Patterns

Tools you’ll learn:

Prompt Engineering

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4. Use AI as a Creative or Expert Partner (2 hours) View on Coursera ↗#

What you’ll learn

• Understand and apply prompt chaining, including chain of thought prompting, for complex tasks.
• Understand prompt versioning and the benefits of saving and reusing your prompts over time.

Skills you’ll gain:

Software Versioning, Generative AI Agents, Solution Design, Prompt Patterns, LLM Application, Multimodal Prompts, AI Personalization, AI powered creativity, Ideation, Scenario Testing

Tools you’ll learn:

Agentic Workflows, Prompt Engineering

12. Google Business Intelligence Professional Certificate (4 courses)#

Source: Coursera ↗

1. Foundations of Business Intelligence (15 hours) View on Coursera ↗#

What you’ll learn

• Understand common careers and industries that use BI.
• Investigate the impact data can have on business decision-making.
• Explain the important role that BI professionals have in businesses.
• Develop a BI project plan.

Skills you’ll gain:

Project Implementation, Business Process, Data Pipelines, Real Time Data, Business Intelligence Software, Continuous Monitoring, Project Design, Stakeholder Communications, Plan Execution

Tools you’ll learn:

Dashboard

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2. The Path to Insights: Data Models and Pipelines (17 hours) View on Coursera ↗#

What you’ll learn

• Build data models that answer business questions.
• Apply the ETL process to workplace scenarios.
• Explore ETL tools.
• Construct a pipeline to deliver necessary data.

Skills you’ll gain:

Business Process, Data Transformation, Data Modeling, Data Integrity, Extract, Transform, Load, Data Warehousing, Databases, Performance Testing, Data Integration, Data Pipelines, Data Mart

Tools you’ll learn:

Database Systems

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3. Decisions, Decisions: Dashboards and Reports (18 hours) View on Coursera ↗#

What you’ll learn

• Design BI visualizations.
• Practice using BI reporting and dashboard tools.
• Create presentations to share key BI insights with stakeholders.
• Develop professional materials for your job search.

Skills you’ll gain:

Dashboard Creation, Tableau Software, Data Visualization Software, Performance Tuning, Performance Analysis, Interactive Data Visualization, Business Intelligence, Presentations

Tools you’ll learn:

Dashboard

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4. Accelerate Your Job Search with AI (6 hours) View on Coursera ↗#

What you’ll learn

• Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
• Keep your applications organized with Google Sheets.
• Build a stand out resume and a step-by-step job search plan—with help from Gemini.
• Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

Skills you’ll gain:

Prompt Engineering Tools, Interviewing Skills, Branding, Professional Development, AI literacy, Web Presence

Tools you’ll learn:

Prompt Engineering, Generative AI, Google Gemini

Suggested Next Use#

• Use total hours to estimate a weekly learning plan.
• Prioritize pathways with capstone and job-search modules if you are switching careers.
• Recheck durations on Coursera before locking your final learning timeline, since course metadata can change over time.