From Prompt Engineering to Agent Engineering

Master the end-to-end journey from writing effective prompts to building real-world AI agents.

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

Requirements
No prior experience with AI required

Description
MASTER PROMPT ENGINEERING AND BUILD INTELLIGENT AI AGENTS FOR MARKETING, BUSINESS, AND BEYONDThe 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 LEARNIn this hands‑on, comprehensive training, you’ll gain mastery across both prompt engineering and agent engineering, including:1. Prompt Engineering SkillsBest practices for creating prompts that reliably produce accurate, high‑quality responsesWhy certain prompts fail and how to fix them for better output and relevant resultsAdvanced methods like chain‑of‑thought prompting, few‑shot prompting, Self‑Ask prompting, RACE Framework prompting for tackling complex tasks2. Frameworks for Precision and ConsistencyThe RACE Framework, ReAct Framework, Tree‑of‑Thought Framework, and Self‑Ask Framework for reliable AI responsesHow do these approaches represent prompt engineering best practices and drive desired outcomes3. Explore AI Models and TechniquesWork with GPT‑4, Claude, Gemini, DeepSeek, CopilotDesign prompts for large language models (LLMs) for multi‑step reasoning, including chain‑of‑thought rolloutsIntegrate external tools, existing code, and user inputs to produce a final answer4. Build Fully Functional AI AgentsEvolve from static prompts to intelligent, multi‑step AI AgentsCreate Agents for question answering, campaign planning, trend forecasting, and SWOT analysesLeverage artificial intelligence and natural language processing (NLP) for highly relevant output5. Real‑World Use Cases and ApplicationsAgents for marketing strategy, trend spotting, and customer service optimization Agents that use user inputs to build multi‑channel campaigns, delivering accurate responses and expected resultsCross‑platform Agents using ChatGPT, Claude, Gemini, DeepSeek, Copilot6. Evaluate AI Responses and Minimize ErrorsAssess AI results for accuracy, relevance, and contextFix errors for better output and minimize generic resultsFocus on tailored, context‑aware outcomes7. Designing AI Agents That Save Time and ResourcesBuild Agents with Make, N8N for multi‑platform automationAutomate repetitive tasks, multi‑stage workflowsUse fine‑tuning, knowledge bases, and advanced prompting techniques for enhanced reasoningWHAT YOU’LL ACHIEVE AFTER THIS TRAININGBuild and operate AI Agents that work autonomouslyAutomate routine and complex tasks across marketing, design, sales, and customer serviceEvaluate AI outputs with precisionEnhance strategies using AI-driven analyticsStay ahead with generative AI tools, advanced prompting frameworks, and multi‑step reasoningBe positioned as an AI and Agent Engineering expertTOOLS USED IN THE COURSEGPT‑4, Claude, Gemini, DeepSeek — prompt engineering, agent buildingCopilot — automating writing, codingDALL‑E — image and video storyboard creationMake, N8N — AI Agent ecosystems, automationElevenLabs, Elsa, MyGPTs — voice‑driven AI AgentsRACE, ReAct, Tree‑of‑Thought, Self‑Ask frameworks — AI agent reasoningMEET YOUR INSTRUCTORAnton 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 MATERIALSCertificate of CompletionShowcase your skills on LinkedIn, resume, or portfolioExclusive CommunityNetworking, Q&A sessions, career‑growth webinars, and AI updatesAlways Updated ContentNew lessons, templates, and prompt engineering best practices are added regularlyFEEDBACK 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 FORMarketing and Sales LeadersDesign AI-driven campaigns, use RACE Framework, ReAct, Tree‑of‑ThoughtBusiness Owners and ExecutivesEmbed AI Agents into operations, leverage LLMs, and generative AI toolsAI and Tech EnthusiastsDeepen mastery in chain‑of‑thought prompting, few‑shot prompting, and fine‑tuningProduct Designers and UX/UI SpecialistsUse AI for image generation, video generation, and user‑centric designProject and Operations ManagersAutomate processes, integrate AI solutions, and reduce errorsAnyone Seeking to Stay CompetitiveLearn to use AI Agents, large language models, and natural language processing to thriveFREQUENTLY 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 THOUGHTSThe 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 engineeringBuild AI Agents that operate autonomouslyStay competitive and future‑readyEnroll now and transform your future with AI Agent Engineering.

Who this course is for:
Prompt engineers ready to build intelligent AI agents., Content creators automating text, image, or video generation., Developers exploring tools like MyGPT, Claude, and APIs., Entrepreneurs & freelancers using AI to boost productivity., Students & tech learners interested in hands-on AI projects., Anyone curious about the future of AI interaction and autonomy.