Agentic programming is revolutionizing how organizations approach automation by enabling autonomous agents capable of collaboration, strategic planning, and independent task execution. This hands-on course introduces learners to the practical aspects of building and deploying intelligent AI agents using industry-leading frameworks, including Microsoft AutoGen, Magentic-One, and n8n. You will explore how to integrate AI agents into organizational workflows, implement automation for complex processes, and maximize productivity through real-world applications.
This course is tailored for software developers, automation specialists, AI professionals, and business leaders seeking to advance their technical capabilities. Through comprehensive training, you will develop expertise in designing multi-agent systems, validating AI-generated outputs, and implementing proven methodologies for AI-driven automation. Upon completion, you will be equipped to harness agentic AI for operational efficiency, software development acceleration, and data-informed decision-making, while also understanding critical ethical and security implications of this emerging technology.
Note: Course content is updated regularly to reflect current trends and advancements in AI technology.
Prerequisites:
Basic knowledge of Generative AI is required. Familiarity with Python programming is recommended but not mandatory.
Course Outline:
- Introduction to AI Agents and Agentic AI Fundamentals
- Core Principles of Agent-Oriented Programming (AOP)
- Building Intelligent AI Agents with AutoGen
- Implementing Multi-Agent Systems with Magentic-One
- Validating and Structuring Agentic Data with Pydantic
- AI Agents in Business Applications and Automation Workflows
- GitHub and Copilot for AI-Assisted Development
- Ethical Considerations and Security Challenges in Agentic AI
