Full course details & curriculum
The expert track: LLMs and fine-tuning, agentic AI engineering, enterprise architecture, and production-grade AI operations.
Learning outcomes
- Fine-tune LLMs and build embedding/vector search systems
- Engineer RAG pipelines, agents, and multi-agent systems
- Design secure, explainable enterprise AI architectures
- Operate AI at scale with MLOps, monitoring, and edge deployment
Curriculum — module by module
Module 1 — Generative AI
Work at the frontier of large language models.
Lessons
- Large Language Models
- Prompt Engineering Advanced
- Fine-Tuning
- Embeddings
- Vector Databases
You will be able to
- Fine-tune models for domain-specific tasks
- Build semantic search on vector databases
Module 2 — AI Engineering
Build agentic systems with modern AI frameworks.
Lessons
- LangChain
- LlamaIndex
- RAG
- AI Agents
- Multi-Agent Systems
You will be able to
- Ship production RAG pipelines
- Orchestrate autonomous and multi-agent workflows
Module 3 — Enterprise AI
Architect AI that meets enterprise security and governance.
Lessons
- AI Architecture
- Microservices
- Enterprise APIs
- AI Security
- Responsible AI
- Explainable AI
You will be able to
- Design microservice-based AI platforms
- Apply security, responsibility, and explainability standards
Module 4 — Production AI
Run, scale, and evolve AI systems in the real world.
Lessons
- MLOps
- AI Deployment
- Monitoring
- Scaling
- Reinforcement Learning
- Edge AI
You will be able to
- Deploy, monitor, and scale AI services reliably
- Extend AI to reinforcement learning and edge devices
Enroll now