From Prompt Engineering to Agent Engineering

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

FEEDBACK FROM OUR STUDENTS

“Meets and exceeds my expectations! The best AI prompt engineering and agent engineering training available.”

“Excellent course. Detailed examples, highly engaging, must‑have for AI in marketing or business.”

“Very interesting topic, clearly explained. Gained valuable info fast.”

“Highly detailed, practical examples for mastering AI Agent design.”

THIS COURSE IS FOR

• Marketing and Sales Leaders
  Design AI-driven campaigns, use RACE Framework, ReAct, Tree‑of‑Thought

• Business Owners and Executives
  Embed AI Agents into operations, leverage LLMs, and generative AI tools

• AI and Tech Enthusiasts
  Deepen mastery in chain‑of‑thought prompting, few‑shot prompting, and fine‑tuning

• Product Designers and UX/UI Specialists
  Use AI for image generation, video generation, and user‑centric design

• Project and Operations Managers
  Automate processes, integrate AI solutions, and reduce errors

• Anyone Seeking to Stay Competitive
  Learn to use AI Agents, large language models, and natural language processing to thrive

FREQUENTLY ASKED QUESTIONS (FAQS)

What is the difference between Prompt Engineering and Agent Engineering?
Prompt engineering creates inputs for AI. Agent engineering builds AI Agents that operate autonomously, make decisions, and produce highly relevant outcomes.

Will I be able to build AI Agents after this course?
Yes, this course guides you from basic prompting to creating fully functional AI Agents.

Do I need coding experience?
No, the course covers no‑code platforms and advanced techniques explained clearly for all levels.

Is this course worth it if I already use AI tools like ChatGPT?
Yes, it teaches you to build multi‑step, goal‑oriented Agents beyond simple prompts.

Will this help my career?
Yes, AI Agent skills make you highly attractive for roles in AI, marketing, business automation, and more.

What if I’m not satisfied?
Udemy offers a 30‑day money‑back guarantee.

FINAL THOUGHTS

The era of relying solely on prompts is fading. The era of AI Agent Engineering is here.

With this training, you’ll:

• Master prompt engineering and agent engineering

• Build AI Agents that operate autonomously

• Stay competitive and future‑ready

Enroll now and transform your future with AI Agent Engineering.