Welcome to Agentic AI 001, a beginner-friendly introduction to the world of autonomous AI systems.
In this course, you’ll learn how modern AI agents think, plan, and act, from chatbots that can use tools to systems that can make decisions, collaborate, and complete tasks without constant human direction.
You’ll not only understand how they work, but also how to build simple agentic systems yourself.
Learners will gain access to MIT-grade lecture materials, tools, and practice exams, ensuring a world-class learning experience adapted for our program.
Duration: 2 months (8 weeks)
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Format: Online lectures, practical assignments, and project work
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Materials: MIT-level lecture notes (PDF), tools, and exam practice
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Schedule: Weekly live classes + downloadable learning resources
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Assessment: Weekly exercises + Final Capstone Project
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Certification: Digital certificate of completion
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Explain what Agentic AI is — and how it differs from traditional AI models.
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Understand the anatomy of an AI agent — reasoning, memory, tools, environment, and feedback loops.
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Build simple autonomous agents that can plan, retrieve information, and perform actions.
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Use frameworks like LangChain, CrewAI, or AutoGen to create multi-agent workflows.
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Design human-in-the-loop systems — balancing autonomy and oversight.
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Explore real-world applications — from research assistants to trading bots, customer service agents, and workflow automation.
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Discuss ethics and alignment in autonomous decision-making.
- ₦29,000 per month (₦58,000 total for 2 months)
- Introductory price for the first cohort. Future cohorts will pay a higher fee.