The Researcher
An agent that autonomously browses the web, synthesizes information, and writes a comprehensive report with citations.

An 8-week advanced curriculum for developers and technical founders. Move beyond prompting and learn to architect, build, and deploy autonomous AI agents capable of complex reasoning, tool use, and long-term execution.

Guided by BODHI, you'll move from local scripts to robust, cloud-deployed autonomous workers. BODHI reviews your code, points out architectural flaws, and guides you through debugging complex multi-agent interactions — the way a senior engineer would.
Theory is immediately put into practice. By the end of week eight, you will not just understand AI agents conceptually — you will have built and deployed them.
Master the foundational patterns of agentic systems: ReAct, Plan-and-Solve, and reflection loops.
Equip agents to interact with the real world — searching the web, querying databases, executing code.
Design workflows where specialized agents collaborate, delegate tasks, and synthesize results.
Move from local scripts to robust, cloud-deployed autonomous workers at real-world scale.

LLMs as reasoning engines, prompt engineering for autonomy, and the ReAct framework.
Vector databases, semantic search, and implementing short-term vs. long-term agent memory.
Function calling, building custom tools, and giving agents read/write access to external systems.
Chain of Thought, Tree of Thoughts, and self-reflection / correction loops.
Frameworks for multi-agent collaboration (AutoGen, CrewAI), role assignment, and task delegation.
Building research assistants, coding agents, and automated data processing pipelines.
Testing agent reliability, preventing hallucinations, and implementing human-in-the-loop safeguards.
Containerizing agents, cloud deployment, and presenting your final autonomous system.
Each rigorous build challenge is reviewed by BODHI — the way a senior engineer would review your pull request.

An agent that autonomously browses the web, synthesizes information, and writes a comprehensive report with citations.
Connects to a database, writes SQL queries from natural language, and generates data visualizations.
A multi-agent system where a Manager delegates subtasks to Workers and compiles final output.
Propose, build, and deploy a custom autonomous agent tailored to your industry or vision.
Students who have completed the Buddha Business School foundational CS curriculum and are ready for advanced AI engineering.
Engineers looking to upskill into the rapidly growing field of AI agent development and LLM orchestration.
Founders who want to leverage autonomous agents to scale operations and build next-generation AI products.

Upon successful Capstone evaluation with BODHI, you'll receive our highest-tier technical credential — verifying your capability to architect and deploy production-ready autonomous AI systems.
Enrollment requires approval. You'll be asked to verify CS50B completion or equivalent proficiency.
Yes. Python is the industry standard for AI and agent development. Proficiency in Python (equivalent to completion of CS50B) is required to succeed in the weekly build challenges.
The course primarily focuses on OpenAI's GPT-4o models for their robust function-calling capabilities, but the architectural principles you learn will be model-agnostic, allowing you to use Claude, open-source models like Llama 3, or others.
BODHI acts as your senior engineering mentor. Rather than just giving you answers, BODHI reviews your code, points out architectural flaws, suggests optimizations, and guides you through debugging complex multi-agent interactions.
All Buddha University graduates receive a complimentary vacation certificate as a reward for their dedication. The certificate covers hotel accommodations at select luxury destinations (taxes and travel not included).