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Certification Mock Exams Directory
Select a certification below to view syllabus domains or launch a targeted practice test.
AI Fluency: Framework and Foundations
The 4D framework: delegation, description, discernment, diligence. Roughly an hour of video, ending in a quiz.
- Delegation
- Description
- Discernment
- Diligence
Generative AI Fundamentals
Free on-demand training plus a short accreditation assessment. Business value and secure implementation rather than code.
- Core generative AI concepts
- Identifying high-value use cases
- Choosing foundation models
- Secure application development
- Autonomous AI agents
Generative AI Leader
Business-level, with no hands-on prerequisite. Sit it remotely or at a test centre.
- Fundamentals of generative AI
- Google Cloud's generative AI offerings
- Techniques to improve model output
- Business strategy for a generative AI solution
OCI Generative AI Professional
50 questions in 90 minutes, passing at 68 percent. The free training runs about six hours and carries hands-on labs. This is the first card bank.
- LLM fundamentals
- Prompt engineering
- RAG and vector search
- Fine-tuning and inference
- OCI Generative AI service
AI Agents Course
Free and certified. Tool calling, memory and multi-agent collaboration, with runnable code throughout.
- Agent fundamentals: tools, thoughts, actions, observations
- Agent frameworks: smolagents, LangGraph, LlamaIndex
- Real-world agent use cases
- Agent benchmarking and evaluation
Generative AI and LLMs, NCA-GENL
50 questions in 60 minutes, proctored remotely. Valid for two years.
- Core machine learning and AI knowledge30%
- Software development for LLMs24%
- Experimentation and model evaluation22%
- Data analysis and visualization14%
- Trustworthy AI10%
AI Engineering Professional Certificate
13 self-paced courses on Coursera. Deep architectures in Keras, PyTorch and TensorFlow. The longest commitment in this corpus.
- Classical machine learning with Python
- Deep learning with Keras and TensorFlow
- Deep learning with PyTorch
- Generative AI architecture and data preparation
- Language modeling with transformers
- Fine-tuning and advanced fine-tuning for LLMs
- AI agents with RAG and LangChain
Certified Machine Learning Engineer, Associate
Publishes domain weights: data preparation 28 percent, model development 26, deployment and orchestration 22, monitoring and security 24.
- Data preparation28%
- Model development26%
- Deployment and orchestration22%
- Monitoring and security24%
Claude Code in Action
Long, hands-off Claude Code sessions you can trust. The tool system, context management, custom workflows, hooks and external integrations.
- Steer the work
- Configure Claude
- Automate repeat work
- Verify and share
Claude Certified Architect, Foundations
Agentic architecture and orchestration, tool design and MCP, and Claude Code configuration. A Professional tier sits above it.
- Claude Code
- Claude Agent SDK
- Claude API
- Model Context Protocol