Learning Paths
Structured journeys from software developer to AI Engineer to FDE. Each path is a sequence of series, labs and projects that take you from concept to portfolio.
AI Engineer Path
From software developer to AI Engineer
The complete journey from software engineering foundations through production AI systems. Master Python, APIs, LLM fundamentals, prompt engineering, RAG, tool calling, agents, evaluation and production deployment.
Software developers entering AI engineering who want a structured, production-grade roadmap from code to deployment.
WHAT YOU'LL BE ABLE TO DO
- Build and deploy production LLM applications
- Implement RAG systems with retrieval, reranking and evaluation
- Design and ship AI agents with tool calling
- Apply production patterns: observability, caching, fallbacks, guardrails
STAGES
GenAI Engineer Path
Master generative AI systems
Specialise in generative AI: LLMs, structured outputs, embeddings, vector search, RAG, multimodal systems, agents and production evaluation.
Engineers with software fundamentals who want to specialise in cutting-edge LLMs, fine-tuning, and hybrid vector systems.
WHAT YOU'LL BE ABLE TO DO
- Architect production RAG systems end to end
- Master embeddings, vector databases and retrieval strategies
- Build multimodal AI applications
- Implement structured output and function calling patterns
STAGES
Agentic AI Engineer Path
Build autonomous AI systems
Master agentic AI: tool calling, agent loops, state and memory, planning, multi agent orchestration, MCP, and production agent systems with evaluation and security.
Engineers building autonomous AI systems that plan, act, maintain persistent state, and dispatch dynamic tool suites.
WHAT YOU'LL BE ABLE TO DO
- Design and build production AI agents
- Implement agent loops with tool calling and memory
- Orchestrate multi-agent systems and workflow graphs
- Apply MCP for tool ecosystems
STAGES
FDE Path
Forward Deployed Engineering
Work at the intersection of customer, product, engineering and AI. Master discovery, solution architecture, rapid prototyping, customer POCs, productionisation and enterprise AI deployment.
Engineers who deploy AI directly to customers — discovery, bespoke POCs, production pipelines, and enterprise scale.
WHAT YOU'LL BE ABLE TO DO
- Run effective technical discovery with enterprise customers
- Design solution architecture under real constraints
- Ship customer-specific POCs rapidly
- Productionise bespoke implementations
STAGES
Master Agentic AI from First Principles
30+ comprehensive modules covering Python, Mathematics, Deep Learning, LLM Architecture, RAG, Autonomous Agents, MCP, Voice AI, and Production Scale. Click any module to view the full lesson syllabus.
Python Fundamentals
Math Foundations
ML Fundamentals
Deep Learning Core
Computer Vision
NLP: Foundations to Advanced
Transformers Deep Dive
Generative AI
LLMs from Scratch
LLM Engineering
LLM Fine-Tuning
RAG Engineering
Advanced RAG
AI Agents
Agentic RAG
MCP & Tool Use
Multi-Agent Orchestration
AI Evaluation
AI Guardrails & Safety
Voice AI Engineering
AI Automation
Production AI Systems
AI Business Systems
Computer Use & Browser Agents
AI Coding Agents
Multimodal AI Engineering
AI Search & Deep Research
LLMOps & AI Infrastructure
AI Product Engineering
AI Engineering Capstone
Official Handbooks & Study Guides
Accelerate your engineering journey with concise, battle-tested handbooks and comprehensive reference guides packed with real-world code architectures and formulas.
AI Engineer: Zero to Production
A complete, hands-on AI Engineering journey covering Mathematics, ML, Deep Learning, Transformers, LLMs, RAG, AI Agents, Multi-Agent Systems, and Production AI.
AI Agents Handbook (Beginner to Advanced)
Everything you need to go from writing software to engineering intelligent agentic systems, MCP tools, memory loops, and production deployments.
Who this is for
Software Engineer
- Python
- Backend
- APIs
Data Scientist
- ML
- Deep Learning
- Statistics
ML Engineer
- PyTorch / TensorFlow
- Feature Stores
- Scikit-Learn
Tech Lead & Architect
- System Design
- Cloud Infrastructure
- Team Leadership
What's included in the course
Lifetime Access
All modules, updates, and future content included forever.
Hands-on Projects
20+ production-grade projects for your portfolio and interviews.
Community Support
Active Discord community with peers, mentors, and office hours.
Verified Certificate
Industry-recognized certificate upon completing the full roadmap.
Sample AI Projects
Get a taste of what you'll build with our step-by-step project guides.
Common Questions
Everything you need to know before you start your AI engineering journey.
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