Advanced AI System Design Courses
Agentic Systems Specialist
RAG Developer
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• Vector databases
• Document chunking Strategy
• Retrieval pipeline
• Tool calling
• Function calling
• Multi-step agents
• Agent memory
• Workflow orchestration
• Async and Concurrency
• Rate limiting & Caching
• Cost tracking & Token budgeting
• User isolation & Tenant isolation
• Per-user vector DB
• Usage tracking
• API retry logic and Timeout handling
• Cloud deployment (on GCP)
• Environment variables
• Secrets handling
• Basic monitoring
Entry-level AI Engineering Courses
AI Engineer
Applied AI Developer
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• What is an LLM
• Tokens, Latency & Cost mechanics
• Context window
• Hallucinations
• Temperature and determinism
• Prompt anatomy
• Role-based prompting
• Structured output (JSON)
• Few-shot prompting
• Prompt guardrails
• Calling OpenAI / Anthropic APIs
• Handling responses & errors
• JSON parsing
• What are embeddings
• Vector databases
• Similarity search
• FastAPI basics & API endpoints
• Request / Response handling
• Connecting LLM to backend
Student AI Courses
Build Final Year AI Projects
Applied AI Developer
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• What is an LLM
• Context window
• Hallucinations
• Prompt anatomy
• Role-based prompting
• Structured output (JSON)
• Few-shot prompting
• Calling OpenAI / Anthropic APIs
• Handling responses & errors
• JSON parsing
• Vector databases
• Similarity search
• FastAPI basics
• Request / Response handling
• Connecting LLM to backend



