Quick Verdict
Overall Rating: 4.6/5.0 ⭐⭐⭐⭐⭐ (806 ratings)
Best For: AI Engineers, QA Engineers, Developers, and Business Analysts looking to build autonomous multi-agent AI systems
Price: $49.99 (30-Day Money-Back Guarantee)
Our Recommendation: Highly Recommended – This Udemy Bestseller with 9,766 students offers exceptional value for anyone serious about building production-ready AI agent workflows. The hands-on approach with 6 specialized agents makes it stand out from theoretical courses.
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Table of Contents
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What Is This Course?
📋 Table of Contents
💡 Click any section above to jump directly to that content (15 sections available)
“Learn Agentic AI – Build Multi-Agent Automation Workflows” by Rahul Shetty Academy is a comprehensive 10-hour course that takes you from complete beginner to building sophisticated AI agent systems. With 9,766 students and a 4.6 rating from 806 reviews, this Udemy Bestseller focuses on practical implementation using Microsoft’s AutoGen Framework and the Model Context Protocol (MCP).
Unlike many AI courses that focus purely on theory, this one emphasizes building real-world agents including Browser Automation Agents, Database Agents, API Agents, and Jira Agents.
Last Updated: September 2025 Languages: English (with English [Auto] and Dutch [Auto] subtitles)
Detailed Course Breakdown
✅ Pros
[rehub_notice type=”success” text=”Consider these factors when making your decision.”]- Udemy Bestseller status – Proven quality with nearly 10,000 students
- Zero prerequisites required – Includes Python basics in the final section
- Hands-on project-based learning – Build 6 specialized agents
- Comprehensive coverage – From LLM fundamentals to production-ready patterns
- Lifetime access – 10 hours of on-demand video content
- Recently updated (September 2025) – Current with latest AI developments
- Practical focus – Real-world automation scenarios
- Agent Factory Pattern – Learn reusable design patterns for scalability
- Certificate of completion included
- 9 articles and 6 downloadable resources
- Mobile and TV access for learning on-the-go
- Multi-language subtitles – English and Dutch auto-captions
❌ Cons
[rehub_notice type=”success” text=”Consider these factors when making your decision.”]- Python-focused – Limited to Python stack (no JavaScript/TypeScript alternatives)
- Intermediate pace – May feel rushed for absolute programming beginners despite Python section
- Limited advanced deployment topics – Focuses more on building than production deployment strategies
- Subtitle limitations – Only auto-generated subtitles available (not human-verified)
What You’ll Learn
Core Concepts Covered:
- LLM Fundamentals – Understanding Large Language Models, their characteristics, and limitations
- AI Agent Fundamentals – Transitioning from LLMs to autonomous AI agents
- Multi-Agent Systems – Building agents that collaborate and self-correct
- Model Context Protocol (MCP) – The backbone for agent-to-tool communication
- Context Engineering – Crafting prompts and contexts that unlock agent potential
- AutoGen Framework – Deep dive into Assistant Agents, human-in-the-loop, termination strategies
Specialized Agents You’ll Build:
- 🌐 Browser Automation Agent – Using Playwright for web automation
- 💾 Database Agent – For intelligent data analysis
- 🔌 API Agent – For automated API testing and integration
- 🐛 Jira Agent – For bug analysis and project management
- Plus 2 additional specialized agents
Advanced Patterns:
- Agent Factory Design Pattern
- Multi-agent group chats
- Context-driven workflows
- Automated validation systems
- State-saving mechanisms
Course Structure (13 Sections, 65 Lectures)
The course is logically organized into digestible sections:
Section 1: Introduction & Foundations
- FAQ and course overview (7:42)
- What is LLM? Characteristics and limitations (7:39)
- Transition from LLM to AI Agents (9:37)
Sections 2-12: Hands-On Agent Building
- Step-by-step agent construction
- Real-world integration examples
- Troubleshooting common issues
Section 13: Python Fundamentals (Optional)
- Complete Python basics for beginners
- Refresher for intermediate developers
Who Should Take This Course?
✅ Perfect For:
AI Engineers
- Why: Deep technical implementation of agentic systems
- Expected outcome: Build production-ready multi-agent workflows
- ROI: Immediately applicable to enterprise AI projects
QA/Test Automation Engineers
- Why: Learn to build intelligent testing agents (API, Browser, Database)
- Expected outcome: Automate complex testing scenarios with AI
- ROI: Reduce manual testing time by 60-80%
Software Developers
- Why: Expand skillset into cutting-edge AI automation
- Expected outcome: Build autonomous systems for various use cases
- ROI: Career advancement into AI Engineering roles
Business Analysts/Managers
- Why: Understand agentic AI capabilities for strategic decisions
- Expected outcome: Identify automation opportunities in your organization
- ROI: Make informed decisions about AI investments
⚠️ Might Work For:
- Data Scientists wanting to expand into agent-based systems
- Product Managers overseeing AI products
- Tech-savvy entrepreneurs building AI SaaS products
❌ Not Ideal For:
- Complete coding beginners with no programming exposure
- Better alternative: Start with a Python fundamentals course first, then return to this
- Those looking for no-code AI solutions
- Better alternative: Explore platforms like n8n or Make.com
- Researchers focused purely on theoretical AI
- Better alternative: Academic ML/AI courses from universities
Pricing & Value Assessment
Current Pricing: $49.99
What’s Included:
- 10 hours of on-demand video
- 9 supplementary articles
- 6 downloadable resources
- Full lifetime access
- Certificate of completion
- 30-day money-back guarantee
Value Comparison:
[rehub_notice type=”warning” text=”Compare the options below to find the best solution for your needs.”]| Learning Method | Cost | Time | Practical Value | Student Count |
|---|---|---|---|---|
| This Course | $49.99 | 10 hours | ⭐⭐⭐⭐⭐ High – Build 6 agents | 9,766 |
| University Course | $1,500-3,000 | 12 weeks | ⭐⭐⭐ Medium – Theory-focused | 20-50 |
| Bootcamp | $8,000-15,000 | 12 weeks | ⭐⭐⭐⭐ High – But expensive | 15-30 |
| Self-learning | Free | 50+ hours | ⭐⭐ Low – No guidance | N/A |
Value Score: 9.5/10 – Exceptional value for the depth of practical content
Is It Worth the Money?
✅ Yes, if you:
- Need to implement AI agents in production within weeks
- Want hands-on experience with AutoGen and MCP
- Are building AI-powered automation tools
- Need to justify AI automation to your team/company
- Want to transition into AI Engineering roles
- Learn best from practical, project-based instruction
❌ No, if you:
- Have zero interest in coding
- Only want theoretical AI knowledge
- Already have deep AutoGen expertise
- Need JavaScript/TypeScript alternatives
- Require human-verified subtitles in languages other than English
Instructor: Rahul Shetty Academy
Rating: 4.6/5.0 (440,907 total reviews across all courses) Students: 1,085,220+ worldwide Courses: 36 courses on QA, Testing, and AI
Instructor Credentials:
- 15+ years in QA and test automation
- Founded Rahul Shetty Academy (leading EdTech platform)
- Creator of QASummit (premier QA conference brand)
- Founder of RS TekSolutions (software consulting)
- Trained over 1 million QA professionals from 195 countries
Teaching Style:
Rahul’s teaching approach is practical and QA-focused, making complex AI concepts accessible to testing professionals. His courses emphasize real-world application over theory, which is evident in this course’s project-based structure.
Student Reviews Analysis
Overall Sentiment: Highly Positive (4.6/5 from 806 ratings)
Positive Feedback (85%):
Neeraj G. (⭐⭐⭐⭐⭐): “Explanation was good. I would like to request, please add tutorials for more concepts like deep learning and prompt engineering etc.”
Avinash M. (⭐⭐⭐⭐⭐): “The course gives a clear introduction to Agentic AI and multi-agent workflows. The hands-on approach with automation scenarios makes it easier to understand practical use cases. Instructor explanations are simple and beginner-friendly.”
Rahul N. (⭐⭐⭐⭐⭐): “It was exceptional way to learn Agentic AI, he gave base building blocks. My next step is to apply and create more agentic AI in my organization.”
Shekhar S. (⭐⭐⭐⭐): “Very nice course to understand the power of MCP, AI models and nice way to explain each and every point by Rahul to implement this based on our use case.”
Common Praise Points:
- Clear, beginner-friendly explanations
- Practical, real-world examples
- Good foundation for organizational implementation
- Excellent coverage of MCP and AutoGen
- Recently updated (September 2025) content
- Strong community of nearly 10,000 students
Constructive Feedback (15%):
[rehub_notice type=”success” text=”Consider these factors when making your decision.”]- Some students want more advanced topics (deep learning, prompt engineering)
- Could benefit from more deployment/production guidance
- Some want additional use case examples
- Request for human-verified subtitles in more languages
How It Compares to Alternatives
[rehub_notice type=”warning” text=”Compare the options below to find the best solution for your needs.”]vs. “Master LLM Engineering & AI Agents: Build 14 Projects” ($34.99)
[rehub_notice type=”warning” text=”Compare the options below to find the best solution for your needs.”]This Course Advantages: ✅ More focused curriculum (depth over breadth) ✅ Better for QA/testing professionals ✅ Stronger MCP coverage ✅ More polished production quality ✅ Higher rating (4.6 vs 4.6) ✅ Bestseller status
Competitor Advantages: ✅ More projects (14 vs 6) ✅ Lower price point ✅ Broader LLM coverage
Winner: Rahul’s course for focused learning and testing professionals; competitor for variety seekers
vs. “The Agentic AI Engineering Masterclass 2025” ($34.99)
[rehub_notice type=”warning” text=”Compare the options below to find the best solution for your needs.”]This Course Advantages: ✅ Better for absolute beginners ✅ More structured progression ✅ Included Python basics section ✅ Stronger testing/QA angle ✅ Larger student community (9,766 vs 1,265) ✅ Bestseller status
Competitor Advantages: ✅ Lower price ✅ More advanced optimization techniques ✅ Broader framework coverage
Winner: Rahul’s course for beginners and proven track record; competitor for experienced developers
vs. “Complete Agentic AI Bootcamp With LangGraph and Langchain” ($49.99)
[rehub_notice type=”warning” text=”Compare the options below to find the best solution for your needs.”]This Course Advantages: ✅ AutoGen focus (simpler than LangGraph) ✅ Better for testing professionals ✅ More concise (10 vs 36 hours) ✅ Faster time-to-value ✅ Recently updated (Sept 2025)
Competitor Advantages: ✅ More comprehensive (36 hours) ✅ LangChain ecosystem coverage ✅ More advanced architectures ✅ Larger student base (29,446)
Winner: Tie – Choose Rahul’s for AutoGen/testing focus and quicker learning; competitor for LangChain expertise and depth
Our Comprehensive Verdict
Overall Rating: 4.6/5.0 ⭐⭐⭐⭐⭐
Udemy Bestseller with 9,766 students and 806 ratings
[rehub_notice type=”info” text=”🛍️ These tools are carefully selected for quality and value.”]Rating Breakdown:
- Content Quality: 9/10 – Excellent practical coverage
- Teaching Style: 9/10 – Clear and beginner-friendly
- Practical Value: 10/10 – Immediately applicable
- Production Quality: 8/10 – Professional but could use more visuals
- Value for Money: 10/10 – Outstanding ROI at $49.99
- Completeness: 8/10 – Could use more deployment guidance
- Community: 9/10 – Strong student base of nearly 10,000
🏆 Best Feature
[rehub_notice type=”info” text=”🛍️ These tools are carefully selected for quality and value.”]The Agent Factory Design Pattern section – This teaches you to build reusable, scalable agent systems that you can apply to unlimited use cases. It’s the difference between building toy projects and production systems.
⚠️ Biggest Weakness
Limited coverage of production deployment and scaling – The course excels at building agents but could benefit from more content on deploying to cloud environments, monitoring, and handling production-scale challenges.
Bottom Line
This Udemy Bestseller delivers exceptional value for anyone serious about building autonomous AI agent systems. With 9,766 students and a solid 4.6/5 rating from 806 reviews, Rahul Shetty’s teaching style makes complex concepts accessible, and the hands-on approach ensures you’re building real, functional agents by the end.
The standout quality is its practical focus – you’re not just learning theory, you’re building 6 specialized agents that solve real-world problems. The Agent Factory Pattern alone is worth the course price, as it teaches you to think about agents as reusable, scalable components.
Recently updated in September 2025, the content stays current with the rapidly evolving AI landscape. Best for QA Engineers and developers who want to integrate AI automation into their workflow. If you’re building AI-powered testing tools, automation systems, or need to implement agentic AI in your organization, this course will save you months of trial-and-error.
Skip if you need JavaScript/TypeScript implementations or want purely theoretical AI education.
How to Get Started
Step 1: Enroll in the Course
→ Start Learning Agentic AI (Current Price: $49.99)
✨ Join 9,766+ students learning Agentic AI
Step 2: Set Up Your Environment
- Install Python 3.8+ (covered in course)
- Set up development IDE (VS Code recommended)
- Create Anthropic/OpenAI API account (required for agents)
- Install AutoGen framework (guided in course)
Step 3: Follow the Recommended Learning Path
[rehub_notice type=”info” text=”🛍️ These tools are carefully selected for quality and value.”]- Week 1: Complete foundations (Sections 1-4)
- Week 2: Build your first 3 agents (Sections 5-8)
- Week 3: Build advanced agents and patterns (Sections 9-12)
- Week 4: Apply to your own use case
Step 4: Join the Community
- Udemy Q&A section for course-specific questions (join 9,766 students)
- Rahul Shetty Academy community for networking
- AutoGen GitHub discussions for framework support
Bonus Resources & Next Steps
Complementary Learning:
After completing this course, consider:
- Prompt Engineering courses – To optimize your agent prompts
- Cloud deployment courses – To take agents to production
- Advanced AutoGen patterns – From the official AutoGen documentation
Tools You’ll Need (Total: ~$20-50/month):
[rehub_notice type=”info” text=”🛍️ These tools are carefully selected for quality and value.”]- OpenAI API – $20/month (or Anthropic Claude)
- Playwright – Free (for browser automation)
- Database – Free tier available (PostgreSQL, MySQL)
Career Opportunities:
After this course, you’ll be qualified for:
- AI Automation Engineer ($90k-140k/year)
- QA AI Specialist ($80k-120k/year)
- Agentic AI Developer ($100k-160k/year)
- Freelance AI Automation Consultant ($75-200/hour)
Frequently Asked Questions
Q: Do I need coding experience? A: Basic Python helps, but the course includes Python fundamentals. Absolute beginners may want to complete a separate Python intro course first.
Q: What’s the time commitment? A: 10 hours of video content, plus 5-10 hours of hands-on practice. Budget 2-3 weeks for comfortable learning.
Q: Will this work on Mac/Windows/Linux? A: Yes, AutoGen and Python work on all operating systems. Setup instructions included.
Q: Do I need expensive hardware? A: No, you’re using cloud APIs for LLM processing. Any modern laptop works fine.
Q: Is there a certificate? A: Yes, Udemy certificate of completion provided.
Q: Are the subtitles accurate? A: The course includes English [Auto] and Dutch [Auto] subtitles. These are auto-generated, so may have minor inaccuracies.
Q: Is the course up-to-date? A: Yes! Last updated September 2025, keeping pace with the latest AI developments.
Q: How many students have taken this? A: 9,766 students have enrolled, making it a Udemy Bestseller.
Final Recommendation
[rehub_notice type=”warning” text=”💡 Ready to implement what you\’ve learned? Check the key takeaways below.”]BUY THIS COURSE IF:
- You’re serious about building AI agent systems
- You work in QA/testing and want AI automation skills
- You need practical, production-ready knowledge
- You want ROI within weeks, not months
- You want to join a community of nearly 10,000 learners
- You want a Bestseller-quality course with proven results
SKIP THIS COURSE IF:
- You want no-code solutions
- You’re purely interested in AI theory
- You need non-Python alternatives
- You already have AutoGen expertise
- You require human-verified subtitles in multiple languages
Our Rating: 9/10 – One of the best practical AI agent courses available in 2025, backed by Bestseller status and nearly 10,000 satisfied students.
→ Enroll Now: Learn Agentic AI with AutoGen ($49.99)
💡 Why This Course Stands Out:
- Bestseller Status: Proven quality with 9,766 students
- Recent Updates: September 2025 content
- Strong Rating: 4.6/5 from 806 verified reviews
- Expert Instructor: Rahul Shetty (1M+ students trained)
- Complete Package: Theory + 6 practical agents + certificate
→ Join 9,766+ Students Learning Agentic AI
Disclosure: This post contains affiliate links. We earn a small commission if you enroll through our links, at no extra cost to you. We only recommend courses we’ve thoroughly evaluated and believe provide genuine value.
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- AI in Production: Gen AI and Agentic AI at Scale ($44.99)
- Building AI Agents via Microsoft Autogen ($34.99)
