NextGen AI
Advanced31% off

Building AI Agents from Scratch

Design and build autonomous AI agents capable of complex reasoning and task execution.

4.7
(950)
950 studentsEnglish

Created by Chloe Martin · Growth Marketer

Promo video coming soon
$720$1,049Save 31%
Enrol now

30-day money-back guarantee

This course includes

  • 15 video lessons
  • 4h 2m of content
  • Downloadable resources
  • Full lifetime access
  • Certificate of completion
  • 30-day money-back guarantee

What you'll learn

  • Understand the core components of autonomous AI agents.
  • Master advanced prompt engineering techniques for agent control.
  • Integrate diverse tools (APIs, databases, custom functions) into agent workflows.
  • Implement short-term and long-term memory mechanisms for agents.
  • Design and compare different agent architectures (ReAct, Plan-and-Execute).
  • Develop strategies for agent planning and task decomposition.
  • Debug and troubleshoot complex agent behaviors.
  • Build end-to-end agent applications from scratch.

About this course

Move beyond simple chatbots. This advanced course dives into the architecture and implementation of autonomous AI agents. You'll learn how agents leverage Large Language Models (LLMs) as their core reasoning engine, combined with tools, memory, and planning capabilities to achieve complex goals without constant human supervision. We'll dissect the components that make an agent 'intelligent' and self-directed. We focus on building agents from the ground up, understanding the critical role of prompt engineering for agent behavior, selecting and integrating external tools (like APIs or databases), and implementing memory systems for context retention. You'll explore different agent architectures, such as ReAct (Reasoning and Acting) and Plan-and-Execute, and learn how to debug and refine agent performance when things inevitably go wrong. This course provides the blueprint for creating sophisticated AI systems. You'll gain hands-on experience coding agents that can browse the web, interact with software, analyze data, and more. Prepare to build agents that can tackle multi-step problems, adapt to new information, and operate with a degree of autonomy, pushing the boundaries of what's possible with AI.

Course content

5 modules · 15 lessons · 4h 2m

  • The LLM as the Brain: Core ReasoningPreview
    18m
  • Tools: Empowering Agents with ActionPreview
    15m
  • Memory: Context and Persistence
    16m

Requirements

  • Strong Python programming skills.
  • Solid understanding of LLMs and their capabilities.
  • Experience with API integrations.
  • Familiarity with LangChain or LlamaIndex is beneficial but not required.

Your instructor

C

Chloe Martin

Growth Marketer

Chloe has run content and growth for three startups and is allergic to generic 'AI slop'.