Developer of Tomorrow
Mastering AI in Your Technical Workflow
A free, interactive course teaching technical professionals how to effectively integrate AI into their daily workflows.
Your Progress
Course Syllabus
Structured learning from foundations to advanced AI integration
Part 1: Foundations
Build essential computer science and AI fundamentals | ~7.5 hours
The Developer's Mental Model for AI
Understand AI as a sophisticated tool, not magic or replacement
Data Structures for the AI Era
How data structures underpin AI systems, embeddings as fundamental representation
Algorithms That Power AI Systems
Gradient descent, search algorithms, and optimization in AI contexts
Networks, APIs, and AI Infrastructure
How AI services are delivered, API patterns, local vs cloud
Databases and Data Management for AI
Vector databases, RAG architecture, data pipelines for AI
Security Fundamentals for AI Applications
Prompt injection, API security, data privacy in AI
Part 2: AI/ML Deep Dive
Understand how modern AI actually works | ~9.5 hours
The Journey to Modern AI
From perceptrons to transformers, the history that matters
The Transformer Revolution
Attention mechanism, multi-head attention, scaling laws
Training, Fine-Tuning, and RLHF
Pre-training, fine-tuning, RLHF, and alignment
Tokens, Embeddings, and Model Internals
How text becomes numbers, tokenization, embedding spaces
Diffusion Models and Multimodal AI
Image generation, vision-language models, unified AI
Reasoning Models and Current Frontiers
Chain-of-Thought, reasoning models, active research
Part 3: Safe Use & Agentic Workflows
Responsible application and advanced integration | ~10.5 hours
Safe and Responsible AI Use
Safety considerations, risks, responsible development
Prompt Engineering Mastery
Advanced prompting techniques, CoT, CoV, Tree-of-Thoughts
AI Agents - Concepts and Architecture
Agent loop, planning, memory systems, observability
Tool Use and Function Calling
Function calling, tool design, error handling
Multi-Agent Systems and Orchestration
Multi-agent patterns, communication, orchestration
Framework Deep Dive - LangChain and Alternatives
LangChain, LangGraph, alternative frameworks
Real-World Workflow Integration
AI in developer workflows, code review, documentation
Part 4: Capstone & Advanced
Synthesis and future directions | ~7.5 hours + project
Capstone Project
Build a production-ready AI-powered application
Advanced Topics - Evaluating and Benchmarking AI
Evaluation strategies, benchmarks, LLM-as-judge
Advanced Topics - Local and Open Models
Open model ecosystem, running locally, optimization
The Future of AI and Your Career
Emerging trends, skills for the AI era, continuous learning
Who Is This For?
Technical professionals ready to integrate AI into their workflow
Software Engineers
Level up your coding with AI assistance while understanding the underlying technology
Data Analysts
Enhance your analysis capabilities with AI-powered tools and techniques
Technical Leaders
Understand AI to make informed decisions about adoption and integration
What You'll Learn
Practical skills from fundamentals to advanced AI integration
Deep Understanding
How transformers actually work, why they succeed and fail
Practical Skills
Prompt engineering, API integration, agent building
Safety Awareness
Real risks, responsible practices, organizational considerations
Critical Judgment
When to use AI, when not to, and how to evaluate outputs