Course Description
The Agentic AI Foundation course provides learners with a practical introduction to the rapidly evolving field of agentic artificial intelligence. Unlike traditional AI systems that primarily respond to individual prompts, agentic AI enables systems to plan, reason, use tools, and perform multi-step actions to achieve defined goals.
Through practical exercises, case studies, and guided activities, participants will explore how to design, orchestrate, and evaluate AI agents capable of using tools, calling APIs, maintaining context and memory, and collaborating with other agents. Learners will discover how agentic AI can be applied to real-world use cases such as **customer support, research automation, software development, and business operations**.
The course also covers agent architectures, reasoning and planning loops, tool integration, memory and context management, multi-agent orchestration, and responsible AI considerations. By the end of the course, participants will have a strong foundation in **agentic AI concepts** and the confidence to understand, design, and evaluate agent-based solutions in professional environments.
Learning Outcomes
By completing this course, learners will be able to:
* Understand the core components of AI agent architectures, including planning, reasoning, memory, and tool use.
* Design agent workflows for specific business and technical requirements.
* Apply orchestration techniques, including multi-agent collaboration and task hand-offs.
* Identify and manage risks associated with autonomous AI, including looping, tool misuse, and unsafe actions.
* Apply agentic AI concepts to real-world use cases such as research, software development, and operations automation.
Who Should Enroll
* Students and professionals interested in artificial intelligence and autonomous systems.
* Developers and architects exploring AI agent frameworks and tool integrations.
* Product managers and business professionals evaluating agentic AI for business workflows.
* Beginners with no prior AI or coding experience.
* Professionals seeking to strengthen their practical knowledge of emerging AI technologies.
Syllabus
* Foundations of Agentic AI
* AI Agent Architectures and Reasoning Loops
* Tool Use and Function Calling
* Memory and Context Management
* Multi-Agent Systems and Orchestration
* Evaluation, Safety, and Governance
* Agentic AI for Enterprise Applications
Prerequisites: None