Advanced AI Agents
Dive deep into advanced AI agent design and implementation.
Learn to build agentic systems from scratch with Python
Apply best practices and effective design patterns to build complex agentic workflows
Build and orchestrate advanced multi-agent systems
Course Introduction
Course Objectives
Tools & Setup
What is an agent?
What are agents made up of?
What are Augmented LLMs
Components of Augmented LLMs
Building a Single-Agent Search System
What are LLM Workflows?
Overview of Prompt Chaining
Document Generator
What is LLM Routing
Routing Customer Service Requests
What is Parallelization in LLMs?
Optimizing LLM Guardrails with Parallelization
OVERVIEW
Advanced AI Agents is a course focused on learning how to design and implement advanced agentic systems.
After completing this course, students will know how to apply best practices and understand the latest design patterns and architectures for building agentic systems.
PREREQUISITES
This course leverages the Python programming language, so it requires basic knowledge of Python.
We primarily use the OpenAI SDK for model access, so you are required to have a paid developer account with OpenAI (any tier should work). We are also leveraging a series of tools like Exa APIs to augment your agentic systems.
TOPICS
Throughout the course, students will use Python and external tools to build a wide range of effective agentic systems:
Here's a subset of companies whose employees have benefited from our courses:
Accrete, Airbnb, Alston & Bird, Amazon, Apple, Arm, Asana, Bank of America, Belong For Me, Biogen, Brilliant, Carebound, CDM, CentralReach, Centric Software, Chime, Coinbase, Digital Green, DoHQ, Elekta, Fidelity Investments, Fivecast, Fulcrum Labs, Google, Guru, Gretel, Harrison Insights, Intel, Intuit, Jina AI, JPMorgan Chase & Co, Khan Academy, KnowBe4, Lawyer.com, LinkedIn, LionSentry, MagmaLabs, MasterClass, Meta, Metopio, Microsoft, Moneta Health, Oracle, OpenAI, Rechat AI, RingCentral, Salesforce, Scale AI, Scribd, Space-O Technologies, Sun Life, TD Bank, TELUS Corporations, Trilogy, TTEC Digital, UniCredit, VaxCalc Labs, Vendr, Walmart, Wolfram Alpha, Zemoso Technologies, Zeplin
Reach out to [email protected] with any questions and for team/student discounts.
Learn how to build agentic workflows powered by LLMs.
Learn the most important prompting techniques and best practices for building effective LLM applications.
Learn how to build effective and modern Retrieval Augmented Generation (RAG) systems.
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