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OverviewLevel 0Environment & FoundationsLevel 1LLM Fundamentals & APIsLevel 2Building Simple GenAI ApplicationsLevel 3RAG Systems & Intelligent AgentsLevel 4Production Systems & DeploymentLevel 5Advanced GenAI TechniquesLevel 6Choose Your Specialization Path
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Choose Your Specialization

After completing Level 5, choose one of four specialization paths aligned with your career goals. Each path includes deep expertise, 4 specialized projects, and clear career progression.

Available Specializations

🚀

Build Full-Stack AI Applications

Specialize in building consumer-facing GenAI applications. Master frontend frameworks, real-time communication, and product-focused development.

⏱️ 8-10 weeks
React/Vue for modern frontendsReal-time communication (WebSockets)UI/UX for AI applications+3 more
⚙️

AI Systems Engineer

Specialize in building scalable, efficient AI systems. Focus on system design, optimization, and infrastructure.

⏱️ 8-12 weeks
System architecture and designPerformance optimizationDistributed systems basics+3 more
🔬

ML Researcher

Push the boundaries of AI. Conduct original research, publish papers, and explore cutting-edge techniques.

⏱️ 10-14 weeks
Research methodologyAcademic writing and papersExperimentation frameworks+3 more
📊

AI Product Manager

Lead AI products and strategy. Master customer development, metrics, and go-to-market strategy.

⏱️ 8-10 weeks
Customer developmentProduct metrics and analyticsMarket positioning+3 more

Deep Dive Into Each Path

Build Full-Stack AI Applications

Specialize in building consumer-facing GenAI applications. Master frontend frameworks, real-time communication, and product-focused development.

Core Skills You'll Master:

  • ✓React/Vue for modern frontends
  • ✓Real-time communication (WebSockets)
  • ✓UI/UX for AI applications
  • ✓Full-stack development patterns
  • ✓Product iteration and analytics
  • ✓A/B testing and metrics

Specialization Projects:

  • Ai Powered Editor
  • Real Time Collab App
  • Mobile Ai Assistant
  • Production Saas App
Expected Career Role:
Senior AI/Full-Stack Engineer
Learn More →
🚀
Build Full-Stack AI Applications

AI Systems Engineer

Specialize in building scalable, efficient AI systems. Focus on system design, optimization, and infrastructure.

Core Skills You'll Master:

  • ✓System architecture and design
  • ✓Performance optimization
  • ✓Distributed systems basics
  • ✓Infrastructure as code
  • ✓Advanced monitoring and observability
  • ✓Cost optimization at scale

Specialization Projects:

  • Scalable Rag System
  • Llm Serving Platform
  • Distributed Agent System
  • Optimization Framework
Expected Career Role:
ML/AI Systems Architect
Learn More →
⚙️
AI Systems Engineer

ML Researcher

Push the boundaries of AI. Conduct original research, publish papers, and explore cutting-edge techniques.

Core Skills You'll Master:

  • ✓Research methodology
  • ✓Academic writing and papers
  • ✓Experimentation frameworks
  • ✓Advanced mathematics
  • ✓Custom model implementations
  • ✓Benchmarking and evaluation

Specialization Projects:

  • Novel Rag Technique
  • Agent Architecture Research
  • Fine Tuning Optimization
  • Explainability Study
Expected Career Role:
ML Research Scientist
Learn More →
🔬
ML Researcher

AI Product Manager

Lead AI products and strategy. Master customer development, metrics, and go-to-market strategy.

Core Skills You'll Master:

  • ✓Customer development
  • ✓Product metrics and analytics
  • ✓Market positioning
  • ✓Competitive analysis
  • ✓Go-to-market strategy
  • ✓AI ethics and safety

Specialization Projects:

  • Product Research Study
  • Competitive Benchmark
  • Metrics Framework
  • Business Case Analysis
Expected Career Role:
Product Manager / AI Product Lead
Learn More →
📊
AI Product Manager

Frequently Asked Questions

Can I switch paths after choosing one?

Yes! While we recommend committing to a path for 8-12 weeks, you can always pivot. Your Level 0-5 knowledge applies across all paths.

Do I need to complete all levels before specializing?

We recommend completing through Level 5. However, if you have strong fundamentals, you can jump into a specialization path earlier.

What if I want to do multiple specializations?

Absolutely! Many advanced practitioners complete 2-3 specialization paths sequentially. Plan 16-30 additional weeks if pursuing multiple paths.

Can I contribute my projects back to the community?

Yes! We encourage open-source contributions. Check our GitHub for contribution guidelines for each path.

Ready to Specialize?

Start your learning journey from Level 0, and move toward specialization with consistent focused study.

Begin the Roadmap →