[Udemy Course] From Prompt Engineering to Agent Engineering by Anton Voroniuk, Anton Voroniuk Support, Eugene Vyborov

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

MASTER PROMPT ENGINEERING AND BUILD INTELLIGENT AI AGENTS FOR MARKETING, BUSINESS, AND BEYOND

The future of work is here — and it’s powered by artificial intelligence. In today’s world, mastering the shift from prompt engineering to agent engineering is no longer just a trend — it’s a critical skill that separates forward‑thinking professionals from those left behind.

If you’ve ever wondered how AI goes beyond static prompts to operate autonomously — making decisions, executing multi‑step strategies, and generating highly relevant outcomes — this is the definitive course for you.

Led by AI educator and digital marketing expert Anton Voroniuk, this Udemy program guides you through every step of the journey: from crafting precise prompts for large language models (LLMs) like GPT‑4, Claude, Gemini, and DeepSeek, to building fully functional AI agents that save hours every day, reduce costs, and multiply productivity across marketing, design, business, and customer service.

Today, knowing how to use AI tools is no longer enough. To stand out, you must learn how to design AI agents that operate autonomously across platforms. This course will give you that competitive edge.

WHAT YOU WILL LEARN

In this hands‑on, comprehensive training, you’ll gain mastery across both prompt engineering and agent engineering, including:

1. Prompt Engineering Skills

Best practices for creating prompts that reliably produce accurate, high‑quality responses

Why certain prompts fail and how to fix them for better output and relevant results

Advanced methods like chain‑of‑thought prompting, few‑shot prompting, Self‑Ask prompting, RACE Framework prompting for tackling complex tasks

2. Frameworks for Precision and Consistency

The RACE Framework, ReAct Framework, Tree‑of‑Thought Framework, and Self‑Ask Framework for reliable AI responses

How do these approaches represent prompt engineering best practices and drive desired outcomes

3. Explore AI Models and Techniques

Work with GPT‑4, Claude, Gemini, DeepSeek, Copilot

Design prompts for large language models (LLMs) for multi‑step reasoning, including chain‑of‑thought rollouts

Integrate external tools, existing code, and user inputs to produce a final answer

4. Build Fully Functional AI Agents

Evolve from static prompts to intelligent, multi‑step AI Agents

Create Agents for question answering, campaign planning, trend forecasting, and SWOT analyses

Leverage artificial intelligence and natural language processing (NLP) for highly relevant output

5. Real‑World Use Cases and Applications

Agents for marketing strategy, trend spotting, and customer service optimization

Agents that use user inputs to build multi‑channel campaigns, delivering accurate responses and expected results

Cross‑platform Agents using ChatGPT, Claude, Gemini, DeepSeek, Copilot

6. Evaluate AI Responses and Minimize Errors

Assess AI results for accuracy, relevance, and context

Fix errors for better output and minimize generic results

Focus on tailored, context‑aware outcomes

7. Designing AI Agents That Save Time and Resources

Build Agents with Make, N8N for multi‑platform automation

Automate repetitive tasks, multi‑stage workflows

Use fine‑tuning, knowledge bases, and advanced prompting techniques for enhanced reasoning

WHAT YOU’LL ACHIEVE AFTER THIS TRAINING

Build and operate AI Agents that work autonomously

Automate routine and complex tasks across marketing, design, sales, and customer service

Evaluate AI outputs with precision

Enhance strategies using AI-driven analytics

Stay ahead with generative AI tools, advanced prompting frameworks, and multi‑step reasoning

Be positioned as an AI and Agent Engineering expert

TOOLS USED IN THE COURSE

GPT‑4, Claude, Gemini, DeepSeek — prompt engineering, agent building

Copilot — automating writing, coding

DALL‑E — image and video storyboard creation

Make, N8N — AI Agent ecosystems, automation

ElevenLabs, Elsa, MyGPTs — voice‑driven AI Agents

RACE, ReAct, Tree‑of‑Thought, Self‑Ask frameworks — AI agent reasoning

MEET YOUR INSTRUCTOR

Anton Voroniuk — AI educator, digital marketing leader, and Udemy partner. With 17+ years of experience, Anton has trained over 900,000 professionals at firms like Coca‑Cola, Vodafone, Metro. He helps businesses leverage large language models, generative AI tools, and artificial intelligence for a competitive edge.

BONUS MATERIALS

Certificate of Completion

Showcase your skills on LinkedIn, resume, or portfolio

Exclusive Community

Networking, Q&A sessions, career‑growth webinars, and AI updates

Always Updated Content

New lessons, templates, and prompt engineering best practices are added regularly

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Product Details: https://tinyurl.com/5eddrt2e

File size: 8.2GB

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