AI Curriculum Course from Scratch

Feeling overwhelmed by the number of AI courses and technologies available?

This session is designed to help you build a personalized AI learning roadmap based on your background, experience, and career goals. Instead of following random tutorials, you'll leave with a structured plan that helps you learn efficiently and build real-world projects.

Whether you're a software engineer, engineering manager, student, or someone looking to transition into AI, I'll help you identify the right path.

This session is ideal for

• Software Engineers
• Frontend & Full Stack Developers
• Engineering Managers
• Students
• Professionals looking to transition into AI
• Anyone starting their AI journey

Topics we can cover

• AI fundamentals and learning path
• Python for AI
• Machine Learning fundamentals
• Deep Learning basics
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents & Agentic AI
• MCP (Model Context Protocol)
• LangChain & LangGraph
• Vector Databases
• AI application architecture
• OpenAI, Anthropic, Gemini & open-source models
• Cursor, Claude Code and AI-assisted development
• Building portfolio-worthy AI projects
• Interview preparation for AI roles

What you'll get

• A personalized learning roadmap tailored to your goals
• Recommended courses, books, and learning resources
• A sequence of hands-on projects to build practical skills
• Guidance on choosing the right AI tools and frameworks
• Milestones to track your progress from beginner to advanced

Before the session

Please share your current background (student, developer, manager, etc.), programming experience, familiarity with Python, and your career goals. This will help me create a roadmap that's aligned with your objectives.