The AI+ Agent™ course is designed to teach professionals how to design, build, and deploy intelligent agents that automate workflows, integrate tools, and make decisions autonomously. It blends theory with hands-on projects, covering agent architecture, prompt engineering, multi-agent systems, deployment strategies, and ethical AI practices.
📚 Course Outline
Module 1: Introduction to AI Agents
- Definition and core concepts of AI agents
- Types of agents: reflex, goal-based, utility-based, learning agents
- Reasoning paradigms: ReAct, Chain-of-Thought, ReWOO
- Use cases: customer service, healthcare, finance, emergency response
Module 2: Agent Architecture & Design
- Goal-oriented design principles
- Modularity, scalability, and security considerations
- Large Language Models (LLMs) as the foundation
- Tool integration and external knowledge retrieval
- Multi-agent systems and collaboration
Module 3: Development Frameworks & Implementation
- Prompt engineering and fine-tuning
- Implementing different agent types
- Testing, debugging, and validation
- Case studies: HR onboarding assistants, customer support bots
Module 4: Infrastructure & Deployment
- Infrastructure requirements (cloud, APIs, containers)
- Deployment strategies and hosting environments
- Scaling considerations and CI/CD pipelines
- Security best practices
Module 5: Monitoring & Optimization
- Monitoring frameworks for agent performance
- Optimization techniques and feedback loops
- Maintenance best practices
- Case study: workflow automation in marketing campaigns
Module 6: Ethics & Responsible AI
- Bias detection and mitigation
- Privacy and regulatory compliance
- Designing trustworthy and responsible agents
Capstone Project
- Build and deploy a fully functional AI agent
- Apply multi-tool integration and workflow automation
- Present project for evaluation
