Agentic AI: full course guide
Designing systems that plan, call tools, remember and act: agent loops, tool schemas, memory, multi-agent orchestration and production safeguards, with runnable examples throughout.
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What is inside this guide
01Agents Fundamentals
- What are AI Agents?
- Agents vs Chatbots
- Perceive → Think → Act Loop
- Tools & Functions
- When to Use Agents
02Building Your First Agent
- OpenAI Function Calling
- Tool Definition & Schema
- Agent Loop Implementation
- Handling Tool Results
- Error Recovery
03Memory & Context
- Conversation Memory
- Summarisation Memory
- External Memory (Vector DB)
- Context Window Management
- Memory Selection Strategies
04Common Agent Tools
- Web Search Tool
- Code Execution Tool
- File Read/Write Tool
- API Calling Tool
- Calculator & Math Tools
05Agent Patterns
- ReAct Pattern
- Plan-and-Execute
- Self-Ask Pattern
- Reflection & Critique
- Human-in-the-Loop
06Multi-Agent Systems
- Multi-Agent Architecture
- Agent Roles & Specialisation
- Agent Communication Protocols
- Shared Memory & State
- Conflict Resolution
07LangGraph
- LangGraph vs LangChain
- Nodes, Edges & State Graphs
- Conditional Routing
- Parallel Agent Execution
- Interrupt & Human Review
08Production Agents
- Reliability & Retries
- Cost Management
- Agent Observability
- Streaming Agent Outputs
- Timeouts & Guardrails
09Specialised Agents
- Research Agent
- Coding Agent
- Data Analysis Agent
- Customer Support Agent
- Workflow Automation Agent
10Evaluation & Safety
- Agent Benchmarking
- Prompt Injection Attacks
- Output Validation
- Safety Rails & Filters
- Responsible Agentic AI
11Advanced Reasoning Architectures
- Tree-of-Thought Prompting
- Self-Consistency Sampling
- Reflexion & Self-Critique Agents
- Chain-of-Thought Distillation
- Reasoning Evaluation Metrics
12Custom Agent Frameworks
- DSPy for Agent Programming
- Building Custom Agent Runtimes
- Agent Memory with Knowledge Graphs
- Tool Chaining & Meta-Tools
- Framework Benchmarking
13Multi-Modal & Code Agents
- Vision-Language Agent Pipelines
- Autonomous Code Generation (SWE-Agent)
- Sandboxed Code Execution
- Multi-Modal Tool Use
- Debugging Agentic Codebases
14Fine-Tuning & Specialisation
- RLHF for Agent Behaviour
- Agent-Specific Fine-Tuning Datasets
- Reward Modelling
- Constitutional AI for Agents
- Evaluation-Driven Fine-Tuning Loops
15Enterprise Governance & Scale
- Agent Audit Trails & Compliance
- Role-Based Agent Access Control
- Cost Governance & Budget Agents
- Horizontal Scaling of Agent Fleets
- Capstone: Enterprise Autonomous System
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