Course Description
This comprehensive course takes you from foundational principles to advanced implementation of AI agents capable of reasoning, decision-making, and autonomous task execution. You will learn how modern AI agents are designed, built, deployed, and optimized using large language models, tools, APIs, and multi-agent systems.
Starting with core concepts such as prompt engineering and structured outputs, the course progresses into tool integration, memory systems, workflow orchestration, retrieval-augmented generation (RAG), and production deployment. By the end of the program, you will be able to design, build, and deploy intelligent AI agents that solve real-world problems across business, education, and automation domains.
Key Concepts Covered Include:
- Foundations
- What AI Agents Are and How They Work
- Large Language Models (LLMs) Architecture Overview
- Prompt Engineering Fundamentals
- Structured Outputs and Function Calling
- Core Agent Design
- Tool Usage and API Integration
- Memory Systems (Short-term vs Long-term Memory)
- State Management and Context Handling
- Agent Planning and Reasoning Patterns
- Intermediate Systems
- Retrieval-Augmented Generation (RAG)
- Vector Databases and Embeddings
- Workflow Orchestration
- Multi-step Task Automation
- Advanced Architectures
- Multi-Agent Systems
- Autonomous Decision Loops
- Guardrails and Safety Mechanisms
- Evaluation and Performance Optimization
- Deployment & Production
- Building Agent APIs
- Scaling and Monitoring
- Cost Optimization
- Real-World Use Case Implementation
Class Fee: ₦ 150,000