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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