Project 42 Academy

Learning paths with a clear next step.

Start from first principles or jump into practical provider decisions. Every module ends with a short knowledge check.

beginner16 modules · 509 min

AI Foundations

Build a clear mental model of AI, prompts, and agents without assuming technical experience.

For people starting with ai or filling foundational gaps.

1. What AI Does—and Does Not Do2. AI Systems and Useful Work3. How Language Models Produce Responses4. Context, Tokens, and Modalities5. Privacy, Safety, and Responsible Use6. Prompt with Purpose7. Prompt Anatomy and Success Criteria8. Context and Evidence Construction9. Examples and Output Contracts10. Verification and Iterative Improvement11. Research with Evidence12. Writing and Transformation Workflow13. Coding and Analysis Workflow14. Safe Tool-Use Workflow15. Agents, Tools, and Guardrails16. AI Foundations Capstone

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intermediate6 modules · 237 min

Providers in Practice

Learn what transfers across providers and where Anthropic, OpenAI, and Google workflows differ.

For practitioners choosing tools or supporting a mixed-provider team.

1. Anthropic in Practice2. OpenAI in Practice3. Choose a Provider Deliberately4. Compare AI Providers without False Equivalence5. Plan a Cross-Provider Migration6. Execute, Roll Back, and Close a Provider Migration

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intermediate7 modules · 372 min

Claude in Practice

Build practical Claude workflows from surface selection and prompting through APIs, tools, safety, evaluation, and migration.

For learners and practitioners who want to use claude deliberately in individual, developer, and agent workflows.

1. Navigate the Claude Ecosystem2. Prompt Claude with Testable Contracts3. Build Reliable Claude API Workflows4. Build Bounded Claude Tool and Agent Loops5. Secure Claude Workflows with Layered Trust Boundaries6. Evaluate and Observe Claude Workflows7. Migrate Claude Workflows with Evidence

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intermediate7 modules · 384 min

OpenAI in Practice

Choose the right OpenAI surface and build evaluated, secure, observable, migration-ready API, tool, and Codex workflows.

For learners and practitioners using chatgpt, the openai api, or codex for individual, application, and development workflows.

1. Navigate the OpenAI Ecosystem2. Prompt OpenAI Models with Evaluated Contracts3. Build Reliable OpenAI Responses API Workflows4. Build Bounded OpenAI Tool and Codex Agent Loops5. Secure OpenAI Workflows with Layered Trust Boundaries6. Evaluate and Observe OpenAI Workflows7. Migrate OpenAI Workflows with Evidence

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intermediate7 modules · 390 min

Gemini in Practice

Choose the right Gemini surface and build evaluated, secure, observable, migration-ready API, tool, and agent workflows.

For learners and practitioners using gemini apps, google ai studio, or the gemini api for individual, prototype, and application workflows.

1. Navigate the Gemini Ecosystem and Interfaces2. Prompt Gemini with Evaluated Contracts3. Build Reliable Gemini API Workflows4. Build Bounded Gemini Tool and Agent Loops5. Secure Gemini Workflows with Layered Trust Boundaries6. Evaluate and Observe Gemini Workflows7. Migrate Gemini Workflows with Evidence

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intermediate12 modules · 689 min

Reliable Agent Workflows

Turn agent capability into dependable work through clear scope, permission boundaries, and evidence-based review.

For people using coding, research, or operations agents for work that must be checked and repeatable.

1. Design a Bounded Agent Loop2. Design Typed Tool Contracts and Action Controls3. Engineer Context for Reliable Decisions4. Design Safe Agent Memory Boundaries5. Understand MCP Architecture and Contracts6. Secure MCP Trust Boundaries7. Choose Reliable Orchestration Patterns8. Build Auditable Multi-Agent Handoffs9. Evaluate Agent Behavior with Evidence10. Observe Agent Quality, Cost, and Risk11. Operate, Recover, and Improve Agent Systems12. Reliable Agent Capstone: Design, Test, and Operate

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