This 3 bootcamp bundle provides enrollment for all three of our A.I. Bootcamp offerings at the discounted price of 3,999. Each bootcamp is also available for stand alone registration at the price of $1,499 each, so purchasing this limited time only bundle will provide a savings of nearly $500. Included enrollments are as follows:
A.I. Bootcamp 1: From Data to Decisions: AI Bootcamp for Real-World Impact
This first bootcamp of our A.I. bootcamp series provides an engaging introduction to Data Science and Machine Learning with a strong emphasis on practical application and real-world relevance. Participants will work with tools such as pandas, numpy, and scikit-learn to clean, analyze, and model data. Through guided, hands-on exercises, you will progress from foundational concepts to building and evaluating machine learning models - equipping you with the skills needed to tackle real-world problems in your organization.
A.I. Bootcamp 2: Large Language Models (LLMs) in Action: Practical AI for Today's Professionals
The second bootcamp course of our A.I. bootcamp series provides a comprehensive and application-focused introduction to Large Language Models (LLMs) and their growing role across industries. Participants will explore how modern AI systems understand and generate language, and how these capabilities can be applied to automate workflows, enhance decision-making, and build intelligent applications.
A.I. Bootcamp 3:Agentic AI: Building Systems That Think, Plan, and Act
The third bootcamp in our A.I. bootcamp series provides a complete, practical introduction to building modern AI agents that can reason, plan, use tools, retrieve information, collaborate, and operate safely in real-world settings. Learners begin by understanding what AI agents are and how they differ from traditional software and simple LLM applications, then explore core agent architectures, the modern AI agent stack, and the fundamentals of using LLMs as reasoning engines. Through guided exercises, participants build agents that use function calling, retrieval, vector databases, and memory systems to maintain context and act autonomously. The course also explores advanced capabilities such as multi-step reasoning, task planning, and multi-agent workflows enabling participants to create agents that decompose tasks, self-correct, and coordinate with other agents. The final modules focus on production readiness, including reliability, safety guardrails, evaluation, monitoring, and API-based deployment. By the end of the course, participants will develop a strong foundation for designing and deploying real-world agentic AI systems.
