Master the end-to-end journey from writing effective prompts to building real-world AI agents.
Description
MASTER PROMPT ENGINEERING AND BUILD INTELLIGENT AI AGENTS FOR MARKETING, BUSINESS, AND BEYOND
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The future of work is here β and itβs powered by artificial intelligence. In todayβs world, mastering the shift from prompt engineering to agent engineering is no longer just a trend β itβs a critical skill that separates forwardβthinking professionals from those left behind.
If youβve ever wondered how AI goes beyond static prompts to operate autonomously β making decisions, executing multiβstep strategies, and generating highly relevant outcomes β this is the definitive course for you.
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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 GPTβ4, 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 handsβon, comprehensive training, youβll gain mastery across both prompt engineering and agent engineering, including:
1. Prompt Engineering Skills
Best practices for creating prompts that reliably produce accurate, highβquality responses
Why certain prompts fail and how to fix them for better output and relevant results
Advanced methods like chainβofβthought prompting, fewβshot prompting, SelfβAsk prompting, RACE Framework prompting for tackling complex tasks
2. Frameworks for Precision and Consistency
The RACE Framework, ReAct Framework, TreeβofβThought Framework, and SelfβAsk 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 GPTβ4, Claude, Gemini, DeepSeek, Copilot
Design prompts for large language models (LLMs) for multiβstep reasoning, including chainβofβthought 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, multiβstep 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. RealβWorld Use Cases and Applications
Agents for marketing strategy, trend spotting, and customer service optimization
Agents that use user inputs to build multiβchannel campaigns, delivering accurate responses and expected results
Crossβplatform 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, contextβaware outcomes
7. Designing AI Agents That Save Time and Resources
Build Agents with Make, N8N for multiβplatform automation
Automate repetitive tasks, multiβstage workflows
Use fineβtuning, knowledge bases, and advanced prompting techniques for enhanced reasoning
WHAT YOUβLL 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 multiβstep reasoning
Be positioned as an AI and Agent Engineering expert
TOOLS USED IN THE COURSE
GPTβ4, Claude, Gemini, DeepSeek β prompt engineering, agent building
Copilot β automating writing, coding
DALLβE β image and video storyboard creation
Make, N8N β AI Agent ecosystems, automation
ElevenLabs, Elsa, MyGPTs β voiceβdriven AI Agents
RACE, ReAct, TreeβofβThought, SelfβAsk frameworks β AI agent reasoning
MEET YOUR INSTRUCTOR
Anton Voroniuk β AI educator, digital marketing leader, and Udemy partner. With 17+ years of experience, Anton has trained over 900,000 professionals at firms like CocaβCola, 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, careerβgrowth webinars, and AI updates
Always Updated Content
New lessons, templates, and prompt engineering best practices are added regularly
FEEDBACK FROM OUR STUDENTS
βMeets and exceeds my expectations! The best AI prompt engineering and agent engineering training available.β
βExcellent course. Detailed examples, highly engaging, mustβhave for AI in marketing or business.β
βVery interesting topic, clearly explained. Gained valuable info fast.β
βHighly detailed, practical examples for mastering AI Agent design.β
THIS COURSE IS FOR
Marketing and Sales Leaders
Design AI-driven campaigns, use RACE Framework, ReAct, TreeβofβThought
Business Owners and Executives
Embed AI Agents into operations, leverage LLMs, and generative AI tools
AI and Tech Enthusiasts
Deepen mastery in chainβofβthought prompting, fewβshot prompting, and fineβtuning
Product Designers and UX/UI Specialists
Use AI for image generation, video generation, and userβcentric 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 noβcode 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 multiβstep, goalβoriented 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 Iβm not satisfied?
Udemy offers a 30βday moneyβback guarantee.
FINAL THOUGHTS
The era of relying solely on prompts is fading. The era of AI Agent Engineering is here.
With this training, youβll:
Master prompt engineering and agent engineering
Build AI Agents that operate autonomously
Stay competitive and futureβready
Enroll now and transform your future with AI Agent Engineering.
Total Students | 17071 |
---|---|
Duration | 22 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 210 |
Number of quizzes | 2 |
Total Reviews | 230 |
Global Rating | 4.5 |
Instructor Name | Anton Voroniuk |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
90% positive recent sentiment
Momentum
π₯ Trending
Time & Value
- Est. time: 22 hours
- Practical value: 8/10
Roadmap Fit
- Beginner β Advanced β Advanced
Key Takeaways for Learners
- Best Practices
- Automation
- Analytics
- Hands On
- Examples
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Examples
- Clear Explanation
- Well Structured
Watch-outs
- Too fast
- Too slow
- Shallow
Difficulty
Best suited for
Practitioners optimizing at scale
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