# BlockseBlock Learning — Courses & LLM Directory

BlockseBlock Learning is a premier platform for hands-on, cohort-based courses in Artificial Intelligence, AI Engineering, and Product Management.

## Available Courses

### 1. AI Product Management Masterclass (AI PM)
- **URL**: https://learn.blockseblock.com/course-details/ai-pm-masterclass
- **Target Audience**: Product Managers, Product Owners, Engineering Leaders, and Founders.
- **Instructor**: Sagrika Kumar (AI Product Manager @ IBM — building IBM Bob enterprise AI assistant).
- **Price**: ₹7,999 (Live 4-Week Cohort)
- **Format**: Live Saturday War Rooms + Self-paced guided builds + 1:1 Debug Sessions.
- **Syllabus & Modules**:
  - Module 1 (Week 1): AI Foundations (Tokens, Embeddings, Context Windows, RAG vs Fine-Tuning) & AI Opportunity Mapping / Discovery.
  - Module 2 (Week 2): Designing AI Features (System Prompts, Context Engineering, Parameter Tuning) & AI UX (Probabilistic UI, Error States, Fallbacks).
  - Module 3 (Week 3): AI Specs & Shipping (AI PRD with Model/Data/Prompt/Eval sections, LLMOps) & GenAI Evals (LLM-as-Judge, Human Rubrics, North-Star Metrics).
  - Module 4 (Week 4): Agentic AI Systems (MCPs, Multi-Agent Orchestration, Guardrails), Responsible AI (EU AI Act, Privacy, Bias), and 1 Shipped Capstone Product.
- **Deliverables**: Tested System Prompts, AI-native PRD, 15-case Eval Rubric, Deployed No-Code Agent with Guardrails, Live Capstone Demo.

### 2. AI Systems Engineering Bootcamp
- **URL**: https://learn.blockseblock.com/course-details/aibootcamp
- **Target Audience**: Software Engineers, Developers, AI Engineers, and Technical Architects.
- **Instructor**: Naureen Fathima (Systems Architect & Lead AI Engineer).
- **Price**: ₹14,999 (Live 30-Day Sprint)
- **Format**: 30-Day Sprint (~1 hr/day commitment) + Live Code Reviews + Deployed Portfolio Artifacts.
- **Syllabus & Engineering Modules**:
  - 1. System Design for AI Architecture (ChatGPT, Perplexity, Voice AI pipelines).
  - 2. Low-Latency Streaming & Voice Pipelines (Real-time WebSockets, STT -> LLM -> TTS, TTFB reduction).
  - 3. Retrieval-Augmented Generation (RAG) & Vector DBs (Chunking, Vector Search, Grounding, Anti-Hallucination).
  - 4. AI Agents & Tool Orchestration (Multi-step reasoning, tool calling, database execution).
  - 5. Model Context Protocol (MCP) Integration (Building standardized MCP servers for enterprise tools).
  - 6. Production Engineering & Deployment (Docker containerization, API endpoints, model drift monitoring).
- **Shipped Artifacts**: Real-time Voice AI Agent, Document RAG System, Autonomous Multi-Tool Agent, MCP Server, Live Deployed Portfolio URL.