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

This course contains the use of artificial intelligence.

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 workflows, and generating highly relevant outcomes on its own — this is the definitive course for you.

Led by AI educator and digital marketing expert Anton Voroniuk, this Udemy program takes you through a complete, three‑part journey — from your very first prompt to deploying and managing a fleet of production‑grade AI agents. Across 430+ lectures, you'll go from crafting precise prompts for today's leading models — ChatGPT, Claude, Gemini, DeepSeek, and Copilot — to building fully functional AI agents on the platforms real businesses are using right now, and finally to orchestrating those agents responsibly at scale.

Today, knowing how to use AI tools is no longer enough. To stand out, you need to know how to design AI agents that operate autonomously across platforms — and how to run them safely once they're live. This course gives you that edge, one part at a time.

A COURSE BUILT IN THREE PARTS

Part 1 — Prompt Engineering. Build the foundation: how to think like an AI collaborator, the frameworks that make your prompts reliable (RACE, ReAct, Tree‑of‑Thought, Self‑Ask, and more), and advanced tactics like prompt chaining and self‑refinement. Then put it all to work in a full applied workflow — SEO, content, and outreach — that turns into a repeatable content production system your whole team can run.

Part 2 — The Basics of Agent Engineering. Make the pivot from prompting to agents: what an AI agent actually is, how it's architected, the different types you'll build, where agents create real value across marketing, sales, support, finance, and legal, and an honest look at what agents can't do yet. You'll close this part with your first hands‑on agent builds — a customer support agent and a booking agent — before the deep platform tour begins.

Part 3 — Detailed Tools Walkthrough. The heart of the course: a hands‑on, platform‑by‑platform build across everywhere businesses are actually deploying agents today — ChatGPT (MyGPTs and Workspace Agents), Claude (Projects, Skills, and Cowork), Manus, Make, Digital First, Microsoft Foundry, ElevenLabs and VoiceGenie for voice agents, and N8N. From there you'll go deeper — agent memory, context rot, autonomy, running agents locally — and finish by orchestrating a full fleet of agents in production with Trinity, plus AI ethics and career growth.

WHAT YOU WILL LEARN

Part 1: Prompt Engineering Skills & Frameworks

• Best practices for creating prompts that reliably produce accurate, high‑quality responses, and why prompts fail — with the fixes for each common mistake

• Core frameworks for precision and consistency: the RCTC prompt anatomy (Role‑Context‑Task‑Constraint), the RACE Framework, and the Business Context Method

• Advanced reasoning frameworks — ReAct, Tree‑of‑Thought, and Self‑Ask prompting — for tackling complex, multi‑step tasks

• Advanced tactics: self‑consistency, step‑back prompting, contrastive examples, prompt chaining, meta‑prompting, directional stimulus, self‑refine, multi‑persona debate, and automatic prompt engineering

• How to evaluate AI responses for accuracy, relevance, and context, and fix errors before they reach a client or a team

• Applying all of it end to end in one real workflow: SEO strategy, keyword research, content creation, outreach campaigns, and a competitor tracker — then packaging it into a content production system with briefs, brand voice, and review standards

Part 2: The Basics of Agent Engineering

• The evolution from prompts to agents: what an AI agent actually is, how it's architected, and the different types of agents — from simple to complex

• Chatbots vs. agents: the real difference, and how to tell which one a task actually needs

• A survey of the agent tools landscape — browser & enterprise agents, no‑code/low‑code builders, and code‑first frameworks — so you know which category fits before you commit to a specific platform

• Agent use cases across marketing, sales, customer support, finance, legal, and operations

• Setting realistic expectations: what agents can (and can't) do today, and the most common myths about them

• Your first hands‑on agent builds — a customer support agent and an appointment‑booking agent — using tools like Elsa for early business insights

Part 3: Detailed Tools Walkthrough

• Hands‑on agent builds inside ChatGPT (MyGPTs and Workspace Agents — including scheduling, CRM automation, analytics agents, and credit‑based budgeting) and Claude (Projects, Artifacts, Claude Code, reusable Skills, and Cowork for background file, research, and reporting automation)

• Browser and platform agents, including ChatGPT Agent Mode and a deep, practical dive into Manus for marketing, content, and workflow automation

• No‑code and low‑code agent building with Make (triggers, actions, AI automations, and full agent builds) and N8N (nodes, memory, tools, and MCP integrations)

• Purpose‑built agent platforms: Digital First for marketing agencies, Microsoft Foundry for enterprise multi‑agent workflows, and ElevenLabs and VoiceGenie for voice AI agents in sales and support

• Advanced agent engineering: giving agents memory with Supabase and pgvector, the "vibe coding" workflow with Cursor IDE and MCP servers, understanding context rot in large language models, and the shift toward autonomous agents

• Running agents locally, then orchestrating a full fleet of them in production with Trinity — deployment, security, governance, and scaling

• AI ethics and responsible use — copyright, bias, privacy, and human oversight — and how to turn everything you've learned into career growth

WHAT YOU'LL ACHIEVE AFTER THIS TRAINING

• Write prompts that reliably produce accurate, high‑quality results across every major AI model

• Build and operate AI agents that work autonomously — from a single MyGPT to a coordinated fleet in Trinity

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

• Evaluate AI outputs with precision and catch errors before they become business risk

• Confidently choose the right platform for the job — no‑code, low‑code, or code‑first

• Deploy, secure, and manage AI agents responsibly in real production environments

• Be positioned as a genuine Prompt Engineering and Agent Engineering expert

TOOLS & PLATFORMS USED IN THE COURSE

• ChatGPT (including GPT‑5.6), Claude, Gemini, DeepSeek, Copilot — prompt engineering across every major model

• MyGPTs and ChatGPT Workspace Agents — no‑code agent building inside ChatGPT

• Claude Projects, Artifacts, Claude Code, Claude Skills, and Claude Cowork — building and automating with Claude

• Manus — general‑purpose autonomous agents for marketing, content, and research

• Make and N8N — no‑code and low‑code workflow automation and agent building

• Digital First — purpose‑built marketing agent platform

• Microsoft Foundry — enterprise multi‑agent orchestration

• ElevenLabs and VoiceGenie — voice AI agents for support, sales, and marketing

• Trinity — deploying and managing agent fleets in production

• Supabase, pgvector, Cursor IDE, and MCP (Model Context Protocol) — agent memory and modern AI‑assisted development

• RACE, ReAct, Tree‑of‑Thought, and Self‑Ask frameworks — reliable AI reasoning and prompt design

MEET YOUR INSTRUCTOR

Anton Voroniuk — AI educator, digital marketing leader, and Udemy partner. With 17+ years of experience, Anton has trained over 1,000,000 professionals at firms like Coca‑Cola, Vodafone, and 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, your resume, or your 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 as the AI landscape changes

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 and voice agents using the RACE Framework, ReAct, Tree‑of‑Thought, Make, and VoiceGenie

• Business Owners and Executives — embed AI agents into daily operations and leverage LLMs and generative AI tools for a real competitive edge

• AI and Tech Enthusiasts — go deep on chain‑of‑thought prompting, agent memory, MCP, and fine‑tuning

• Product Designers and UX/UI Specialists — use AI for image generation, content creation, and user‑centric design work

• Project, Operations, and IT Automation Leads — automate processes with Make, N8N, and Microsoft Foundry, and manage agent fleets safely in production with Trinity

• Anyone Seeking to Stay Competitive — learn to use AI agents, large language models, and natural language processing to thrive as the field moves fast

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 without you supervising every step.

Why does this course have three parts? Because that's the real learning curve: master prompting first, then learn the fundamentals of how agents actually work and where they create value, then go hands‑on with the specific platforms — ChatGPT, Claude, Manus, Make, Microsoft Foundry, Trinity, and more — that businesses are using right now. Each part builds on the one before it.

Will I be able to build AI Agents after this course? Yes. This course guides you from basic prompting all the way to building, deploying, and managing fully functional AI agents across multiple platforms.

Do I need coding experience? No. The course is built around no‑code and low‑code platforms — Make, N8N, Microsoft Foundry, ElevenLabs, and VoiceGenie among them — with every advanced technique 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 that go far beyond simple prompts — and how to run more than one of them at once.

Will this help my career? Yes. AI agent skills make you highly attractive for roles in AI, marketing, business automation, and operations — and Part 3 specifically covers how to turn these skills into career growth.

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, from your first prompt to advanced reasoning frameworks

• Learn the fundamentals of how AI agents actually work, before you touch a single platform

• Get a detailed, hands‑on walkthrough of every major agent tool businesses use today — and how to orchestrate and run them in production

• Stay competitive and future‑ready

Enroll now and transform your future with AI Agent Engineering.

This course contains a promotion.