Order Desk
Blocks start, basics, junior
Expanding existing materials
- Supplementing current materials
- Module on real-world agent case studies by industry
- Module on prompt caching
Senior Block
Resources for studying AI Agents
- other one-stop shops to study AI Agents
- Must-read papers
- Onthological papers
- Upfront papers
User interface development
- Rapid UI development
- Voice bots
Infrastructure and DevOps
- Production Infrastructure
Advanced prompting
- Senior-lvl prompting
- APEs (Autonomous Programming Engines)
RAG advanced level
- Agentic RAG
- Hybrid RAG
- Subtopic node
- Graph RAG
- Reranking
- RAG evaluation
- Caching
Multi-Agent systems
- MultiAgents theory
- Conflict resolution between agents
- Protocols:
- MCP (Multi-agent Communication Protocol)
- ANP (Agent Negotiation Protocol)
Memory theory
- Memory theory
Testing and evaluation of agents
- Benchmarks:
- Popular benchmarks
- How to create your own
- Errors in benchmarking
- Performance monitoring
- Feedback learning
- Online evaluation
- E2E testing
- ToolChoiceE
Cloud solutions
- AWS SageMaker AI Agents
- Google Vertex AI
Extra Block
Business aspects
- Business insides
- Business cases
Technology landscape
- LandScape A2A protocols
- LandScape AgentOps Infrastructure
- tracing
- monitoring
- logging
- metrics
- alerting
- dashboarding
- prompt engineering platforms
- benchmark platforms
Model training
- fine-tuning models: RL vs PEFT vs P-Tuning
- fine-tuning models for tool using
Model Deployment
- Using your own LLM in production: vLLM and friends
- Using your own LLM in the cloud:
- serverless solutions vs kubernetes
- model garden
- fine-tuning AWS, GCP, Azure, YC, OpenAI
Blocks Not-Agents
- Improving materials in the light backend development block