TechVersePricing

Role-based roadmap

AI Engineer roadmap

Three courses from how generative AI actually works to building and connecting your own agents. Short, practical, and current.

7+ hours 3 courses 136 lessons 25 hands-on

The path

In order, start to finish

Each course stands alone, but the sequence is the shortest route from where most people start to the role.

  1. Generative AI

    AI Foundations

    2 hrs · 62 lessons · 12 hands-on

    Understand how generative AI works — tokens, transformers, foundation models, and prompt engineering.

    What is Generative AIHow LLMs WorkPrompt EngineeringAI Tools EcosystemAI in Engineering Workflows
    View course

  2. AI Agents

    Agentic Engineering

    3 hrs · 58 lessons · 6 hands-on

    Use, configure, and build AI agents — from Claude Code and Cursor to custom tool-calling agents with the Anthropic SDK.

    How Agents WorkClaude Code & CursorTool CallingAgent Goals & PromptingFailure Modes & Safety
    View course

  3. MCP

    Model Context Protocol

    2 hrs · 16 lessons · 7 hands-on

    Connect agents to any tool — GitHub, Slack, AWS, Kubernetes, and databases via Model Context Protocol.

    What is MCPPre-built MCP ServersBuild Your Own MCP ServerSecure Tool AccessProduction MCP Patterns
    View course

  4. AI Engineer

    Job ready

Tools covered11

ClaudeClaude CodeCursorChatGPTAnthropic SDKMCPGitHub MCPSlack MCPAWS MCPPythonNode.js

Where the time goes

Generative AI2h
AI Agents3h
MCP2h

Total 7+ hours · 136 lessons · 25 hands-on

What you'll be able to do

  • Understand how LLMs, transformers, and foundation models actually work
  • Use Claude Code, Cursor, and GitHub Copilot to 10× engineering productivity
  • Build custom tool-calling agents with the Anthropic SDK
  • Connect agents to GitHub, Slack, AWS, and internal tools via MCP
  • Write effective agent goals that produce reliable, verifiable results
  • Interview-ready for AI engineering and agentic workflow roles