Description
From Prompt Engineering to Agent Engineering. This course teaches you how to master prompt engineering and build intelligent AI agents for marketing, business, and beyond. The future of work is being shaped by the power of AI, and the transition from prompt engineering to agent engineering is a critical skill for future-oriented professionals. This course answers the question of how AI can go beyond static prompts to automate tasks, make decisions, execute multi-step strategies, and produce relevant results. Led by Anton Veronik, this training program guides participants from building precise prompts for language models like GPT-4, Claude, Gemini, and DeepSeek to creating fully operational AI agents that save time, reduce costs, and increase productivity in marketing, design, business, and customer service. Key topics include advanced prompt engineering skills, frameworks for accuracy and consistency, exploring AI models and techniques, building automated agents using tools and memory, and real-world applications in marketing strategy and analytics. The course also focuses on evaluating AI responses for accuracy and relevance, designing agents that save time and resources, and using platforms like Make and N8N for automation to enable participants to move from static prompts to agent-based AI systems.
What you will learn
- How to write effective prompts for various large language models (LLMs) (GPT-4, Claude, Gemini, etc.).
- The evolution of prompt engineering into agent-based AI systems.
- Best practices for prompt design and optimization.
- Main components and architecture of Autonomous AI Agents.
- Building agents that use tools, memory, and multi-step workflows.
This course is suitable for people who:
- Marketing and sales leaders to design AI-based campaigns and use RACE, ReAct, Tree-of-Thought frameworks.
- Business owners and executives to embed AI agents into operations, and leverage LLMs and productive AI tools.
- AI and technology enthusiasts to deepen their mastery of Chain-of-Thought Prompting, Few-Shot Prompting, and Fine-Tuning.
- Product designers and UX/UI specialists to use AI in image generation, video production, and user-centered design.
- Project and operations managers to automate processes, integrate AI solutions, and reduce errors.
- Anyone looking to stay competitive should learn to use AI agents, large language models, and natural language processing to advance.
- Prompt engineers ready to build intelligent AI agents.
- Content producers who automate the production of text, images, or videos.
- Developers are exploring tools like MyGPT, Claude, and APIs.
- Entrepreneurs and freelancers using AI to increase productivity.
- Students and technology learners interested in practical AI projects.
- Anyone curious about the future of AI engagement and autonomy.
Course details
- Publisher: Udemy
- Instructor: Anton Voroniuk , Anton Voroniuk Support , Eugene Vyborov , Dmytro Vasyliev
- Training level: Beginner to advanced
- Training duration: 2 hours and 5 minutes
- Number of lessons: 21
Course syllabus as of 2025/10
Prerequisites for the From Prompt Engineering to Agent Engineering course
- No prior experience with AI required
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.04 GB
