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Free AI certification exam preparation courses

Free preparation for the cloud AI certification exams employers ask for: AWS Certified AI Practitioner (AIF-C01), Microsoft Azure AI Fundamentals (AI-901), Azure AI Apps and Agents Developer (AI-103) and Google Cloud Generative AI Leader, each built on the vendor's current exam guide with original practice questions, notes and a project.

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4 courses · 53 modules · 43h 13m of video · Updated 27 September 2026
AWS Certified AI Practitioner (AIF-C01) Exam Preparation course cover
FreeAI and machine learningBeginner

AWS Certified AI Practitioner (AIF-C01) Exam Preparation

Preparation for the AWS Certified AI Practitioner exam (AIF-C01), organised around the five domains of the exam guide revised on 30 April 2026: AI and ML fundamentals, metrics and the ML lifecycle, managed AI services, generative AI and token cost, Amazon Bedrock, RAG and Knowledge Bases, agents with MCP, Strands Agents, AgentCore and Kiro, prompt engineering, customising and evaluating models, responsible AI and Guardrails, and security and governance. Preparation for the exam, not the AWS certification itself.

  • Map the five AIF-C01 domains and the April 2026 revision to a study plan
  • Choose a learning type and technique, and calculate precision, recall and F1
  • Match business needs to AWS managed AI services by input and output
14 modules 9h 23mView course
Microsoft Azure AI Fundamentals (AI-901) Exam Preparation course cover
FreeAI and machine learningBeginner

Microsoft Azure AI Fundamentals (AI-901) Exam Preparation

Preparation for Microsoft's AI-901 exam, built on the skills measured as of 15 April 2026: AI workloads and responsible AI, how generative models work and how to choose and deploy one, Microsoft Foundry projects and the model catalogue, prompts and a Python chat client, a single agent, text analysis, speech, vision and image generation, and information extraction with Content Understanding. Preparation for the exam, not the Microsoft certification itself.

  • Map your study to the AI-901 skills measured as of 15 April 2026 and their weights
  • Match scenarios to AI workloads and to Microsoft's six responsible AI principles
  • Explain tokens, embeddings, temperature and top-p, and choose a model and deployment type
12 modules 7h 57mView course
Azure AI Apps and Agents Developer (AI-103) Exam Preparation course cover
FreeAI and machine learningIntermediate

Azure AI Apps and Agents Developer (AI-103) Exam Preparation

Preparation for Microsoft's AI-103 exam, built on the skills measured as of 16 April 2026: planning, securing and monitoring Microsoft Foundry solutions, generative apps and RAG, agents with tools, MCP and multi-agent workflows, vision, text, speech and information extraction with Content Understanding and Azure AI Search. Preparation for the exam, not the Microsoft certification itself.

  • Map your study to the AI-103 skills measured as of 16 April 2026 and their weights
  • Choose a model, a deployment type and the Foundry services for a stated scenario
  • Secure a Foundry solution with managed identities, least-privilege roles and private endpoints
15 modules 14h 19mView course
Google Cloud Generative AI Leader Exam Preparation course cover
FreeAI and machine learningBeginner

Google Cloud Generative AI Leader Exam Preparation

Preparation for Google Cloud's Generative AI Leader exam, organised around the four sections of the current exam guide: gen AI fundamentals, Google Cloud's gen AI offerings, techniques to improve model output, and business strategy. Covers Gemini, Gemma, Imagen and Veo, Gemini Enterprise and Gemini Enterprise Agent Platform (the successor to Vertex AI), Gemini in Workspace and Gemini Notebook, agents and tooling, prompting, grounding and RAG, the Customer Engagement Suite and AI APIs, SAIF and responsible AI, and choosing and measuring use cases. Preparation for the exam, not the Google Cloud certification itself.

  • Map the four Generative AI Leader sections and the 2026 product renames to a study plan
  • Explain foundation models, learning approaches, data quality and the ML lifecycle
  • Place Google's products in the five gen AI layers and choose between Gemini, Gemma, Imagen and Veo
12 modules 11h 35mView course

Compare the AI certification preparation courses

CourseLevelModulesVideoBrand
AWS Certified AI Practitioner (AIF-C01) Exam PreparationBeginner149h 23mVendor-neutral
Microsoft Azure AI Fundamentals (AI-901) Exam PreparationBeginner127h 57mVendor-neutral
Azure AI Apps and Agents Developer (AI-103) Exam PreparationIntermediate1514h 19mVendor-neutral
Google Cloud Generative AI Leader Exam PreparationBeginner1211h 35mVendor-neutral

How to choose

New to AI on the cloud: start with Azure AI Fundamentals (AI-901) or AWS Certified AI Practitioner, depending on which cloud your employer uses. Developers who write Python go on to Azure AI Apps and Agents Developer (AI-103). Managers and leads take Google Cloud Generative AI Leader.

Questions

Do these courses give me the AWS, Microsoft or Google certification?
No. They prepare you for the exam. You book and pay for the exam with the vendor, and the EDWartens certificate is a certificate of completion for the preparation course.
Are the practice questions real exam questions?
No. Every question is original and written to the published exam objectives.
Which AI certification should I take first?
The fundamentals exam for the cloud your employer uses: AI-901 for Microsoft, AIF-C01 for AWS. Google's Generative AI Leader suits managers and project leads.
Is it free?
Every lesson, note and practice question is free. The EDWartens certificate is optional and paid.