Description
Building Autonomous Agentic AI Systems for Beginners HandsOn Course. Agentic AI is changing the way we do things at an incredible pace and is a key evolution in the evolution of intelligent systems. Mastering this new paradigm is more essential than ever. This course provides participants with the practical skills and strategic understanding needed to design, build, and deploy agentic AI systems in the real world, providing powerful opportunities for innovation, automation, and career growth. The training begins with the core fundamentals of agentic AI: understanding what exactly agents are, how they differ from traditional AI systems, and how reasoning, planning, and using tools can create automated workflows. The building blocks of these systems are then explored, including Large Language Models (LLMs), Memory, Embeddings, Vector Databases, and RAG Pipelines. The course is designed to be highly practical, with final projects and troubleshooting scenarios. Participants learn how to not design agents as a given, but to program them to optimize performance and autonomous reasoning. The training simulates use cases in large enterprises and startups, and helps to understand how these systems can be scaled and deployed in operational environments.
What you will learn
- A thorough understanding of the basics of agent-based AI, how it works, and its fundamental differences from traditional AI systems.
- Building functional AI agents using modern frameworks such as Smolagents, CrewAI, MCP, and n8n.
- Integrate RAG (Recovery Augmented Generation) into agent workflows to improve system accuracy and reliability.
- Designing multi-agent systems capable of cooperation, autonomy, and complex reasoning.
- Implementing memory systems, substitutions, vector search, and coordination logic within intelligent agents.
- Building multi-agent solutions for the real world, including Cloud Monitoring and Cross-Cloud Intelligence.
- Apply reflection, self-correction, safety, and guardrails techniques to build resilient and reliable agents.
- Deploy agents using Docker or cloud environments and run scalable automations in the real world.
This course is suitable for people who:
- Developers who want to build intelligent automation and advanced AI agents.
- AI enthusiasts who want to move beyond writing simple prompts for language models.
- Data scientists and machine learning engineers looking to expand their knowledge in the field of Agentic AI.
- Backend Engineers who are responsible for integrating AI-based workflows.
- System architects looking to adopt multi-agent design patterns in their infrastructure.
- Product creators working on AI-first products.
- Students and professionals preparing for the future of artificial intelligence and automated systems engineering.
Building Autonomous Agentic AI Systems for Beginners HandsOn Course Details
- Publisher: Udemy
- Instructor: Yogesh Raheja
- Training level: Beginner to advanced
- Training duration: 5 hours and 30 minutes
- Number of lessons: 56
Course syllabus as of 2026/1
Prerequisites for the Building Autonomous Agentic AI Systems for Beginners HandsOn course
- Familiarity with Python
- Basic understanding of how LLMs work
- Curiosity to explore Agentic AI, autonomous agents, and AI-driven workflows
- Prior fundamental experience with AI is required
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.9 GB
