📚 AI Course Modules for Everyone
Learn AI — your way.
Whether you're a developer, data scientist, or product manager — pick the learning track that fits your role. Three structured courses covering fundamentals to production-grade AI engineering.
Pick a track. Start learning.
Each course is designed to be self-paced and hands-on. Whether you want to build ML models, ship AI systems, or lead AI product strategy — there's a track for you.
AI/ML Roadmap
Beginner → AdvancedThe complete 8-phase learning path — from Python fundamentals and statistics to Machine Learning, Deep Learning, MLOps, and Generative AI. Includes an interactive LMS to track your progress across 40+ modules.
PROAI Engineering
Expert LevelDeep dive into production AI — foundation models, prompt engineering, RAG systems, AI agents, fine-tuning, evaluation, and deployment architecture. 10 chapters of expert-level content with tutorials, code, and visual guides.
PROAI Agents
Expert LevelThe complete guide to building AI agents — from LLM foundations and reasoning to tool use, memory systems, evaluation, deployment, and cost optimization. 11 chapters of hands-on tutorials, code examples, and architecture patterns.
PROAI Evals
Expert LevelMaster LLM evaluation — error analysis, LLM-as-Judge, annotation workflows, RAG evaluation, tool use testing, CI/CD for agents, and cost optimization. 12 chapters with practical code and evaluation frameworks.
PROAI for Product Managers
All LevelsEssential AI concepts, tools, and strategy tailored for PMs. Learn to evaluate AI opportunities, write AI product specs, collaborate with ML teams, and navigate ethics and governance — without writing a single line of code.
Three tracks. Every role.
- Python, NumPy, pandas foundations
- ML algorithms & model training
- Deep Learning with PyTorch
- MLOps & system design
- Foundation model architecture
- RAG pipelines & vector stores
- Fine-tuning & evaluation
- Production deployment patterns
- LLM reasoning & planning
- Tool use & structured outputs
- Memory systems & RAG
- Eval, deployment & cost control
- Error analysis & failure modes
- LLM-as-Judge & automated evals
- RAG & tool use evaluation
- CI/CD & monitoring pipelines
- AI fundamentals without jargon
- Opportunity evaluation frameworks
- AI product strategy & specs
- Ethics, risk & governance
From zero to AI expert.
Pick Your Track
Choose based on your role — developer, engineer, or product manager. Start where you are.
Learn the Fundamentals
Build a solid foundation with structured modules, notebooks, and interactive content.
Go Deep
Advance into production AI, GenAI systems, or AI product strategy — whatever your track demands.
Build & Ship
Apply your skills with hands-on projects. Build your portfolio and ship real AI applications.