Course Description
Certificate | 2 Courses | 36 hours | 3.6 CEUs | $4,590The Agentic AI and Agentic AI and Retrieval Augmented Generation (RAG) Certificate provide a practical introduction to building intelligent AI systems that combine retrieval and autonomous decision-making. Through two courses, students will learn how Retrieval-Augmented Generation (RAG) connects AI models to real-time and domain-specific data, and how agentic systems extend these capabilities to create agents that can plan, reason, and act.
Participants will explore how to design AI workflows that move beyond simple prompts, enabling systems to retrieve relevant information, use tools, and execute multi-step tasks. With a focus on real-world applications, this certificate equips learners with the foundational knowledge needed to develop scalable, context-aware AI solutions used across industries.
AI400 Retrieval-Augmented Generation (RAG)
18 Hours | 1.8 CEUs | $2,295
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This course provides a hands-on introduction to Retrieval-Augmented Generation (RAG), a method for enhancing large language models (LLMs) by connecting them to real-time and domain-specific data. Students will learn how the RAG workflow moves from user question to response, including embeddings, vector databases, retrieval strategies, and prompt augmentation techniques. Through a structured, multi-session format with hands-on labs, participants will work with tools such as Python, APIs, and vector databases to build, test, and improve RAG pipelines. The course also covers evaluation, grounding with citations, and real-world applications to support accurate, context-aware AI outputs.
AI410 Building Agentic AI Systems
18 Hours | 1.8 CEUs | $2,295
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This course provides a hands-on introduction to the foundational concepts of agentic systems and how they extend generative AI (GenAI) to build intelligent agents that can plan, reason, and act autonomously using large language models and supporting architectures. Students will explore how AI agents operate independently, make decisions, and leverage tools to complete complex, multi-step tasks. Beginning with the fundamentals of generative AI and agent architecture, the course follows a structured, session-based format covering core principles such as agent components, reflection and introspection, tool use, planning, and multi-agent coordination. Through guided instruction, learners will gain a clear understanding of how agentic systems are built and how they operate in real-world scenarios.
Duration
36 Hours | 6 Days or 12 NightsEnroll Now - Select a section to enroll in
*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.