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Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- How to write effective prompts for various LLMs (GPT-4, Claude, Gemini, etc.)
- The evolution of prompt engineering into agent-based AI systems
- Best practices for prompt design and optimization
- The core components and architecture of autonomous AI agents
- Building agents that use tools, memory, and multi-step workflows
Best For
- Developers looking to transition from basic prompting to building autonomous AI workflows
- Tech enthusiasts who want to integrate external tools and memory into LLM applications
- Professionals aiming to automate complex multi-step business processes using AI agents
- Innovators eager to understand the architectural shift from static models to self-directing agents
Not For
- Absolute beginners who are not interested in technical implementation or agent architecture
- Individuals seeking a non-technical, high-level overview of AI without hands-on coding
- Those who only require basic ChatGPT prompting skills for simple daily tasks
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About the creator
Anton Voroniuk
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Reviews, Scores & Student Outcomes
Unclaimed ProfileWelcome to the frontier of artificial intelligence. From Prompt Engineering to Agent Engineering, taught by Anton Voroniuk, is a comprehensive 38.5-hour program designed to transition learners from basic prompt crafters to architects of autonomous AI systems. The course demystifies the critical paradigm shift from static prompting—using models like GPT-4, Claude, and Gemini—to building dynamic, self-directing AI agents. You will start by mastering the fundamentals of prompt design, learning how to engineer precise inputs that yield optimal LLM outputs. From there, the curriculum dives deep into the architecture of autonomous AI agents. You will explore how to equip these systems with advanced cognitive capabilities, including multi-step planning, external tool integration, and persistent memory. Instead of manually prompting an AI for every single step, you will learn how to design end-to-end systems that autonomously execute complex, multi-layered workflows. Perfect for developers, tech enthusiasts, and innovators of all levels, this course provides hands-on frameworks for creating real-world AI applications. By the end of this journey, you will possess the specialized skills to build, deploy, and optimize intelligent agents capable of working independently to solve modern business challenges.
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