Course Description
The Agentic AI Foundation course introduces learners to the emerging field of agentic artificial intelligence, where AI systems move beyond single-turn responses to autonomously plan, reason, and take multi-step actions toward a goal. Through hands-on exercises, case studies, and guided practice, participants will explore how to design, orchestrate, and evaluate AI agents that can use tools, call APIs, maintain memory, and collaborate with other agents to solve real-world problems in areas such as customer support, research automation, software development, and business operations.
Learners will gain an understanding of agent architectures, planning and reasoning loops, tool use, memory systems, and the safety and governance considerations involved in deploying autonomous AI responsibly. By the end of the course, participants will have developed a strong foundation in agentic AI concepts and the confidence to design and evaluate agent-based systems in professional settings.
Learning Outcomes
By completing this course, learners will be able to:
● Understand the core architecture of AI agents, including planning, memory, and tool-use loops.
● Design agent workflows tailored to specific business or technical tasks.
● Apply orchestration strategies, including multi-agent collaboration and hand-offs.
● Recognize and mitigate risks such as looping, tool misuse, and unsafe autonomous actions.
● Use agentic AI to enhance productivity in real-world applications such as research, coding, and operations automation.
Who Should Enroll
● Students and professionals interested in AI and autonomous systems.
● Developers and architects exploring agent frameworks and tool integrations.
● Product managers and business professionals evaluating agentic AI for their workflows.
● Beginners with no prior AI or coding background, as well as those seeking to strengthen their applied AI knowledge.
Syllabus
● Foundations of Agentic AI
● Agent Architectures & Reasoning Loops
● Tool Use & Function Calling
● Memory & Context Management
● Multi-Agent Systems & Orchestration
● Evaluation, Safety & Governance
● Agentic AI for Enterprises
Pre-requisites: None
