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2025 is the year that Agents enter the workforce. This is nothing short of a watershed moment for Artificial Intelligence. It has never been more important to be an expert with Agentic AI. And that is precisely the goal of this course: to equip you with the skills and expertise to design, build and deploy Autonomous AI Agents, opening up new career and commercial opportunities.

This is an intensive 6-week program to master Agentic AI. We start by building foundational expertise, connecting LLMs using proven design patterns. Then, each week, we upskill with new frameworks: OpenAI Agents SDK, CrewAI, LangGraph and Autogen. The course culminates with a full week on the remarkable opportunities opened up by MCP.

Above all, this is a hands-on course. I’m a big believer that the best way to learn is by DOING. So please prepare to roll up your sleeves! We’ll build 8 real-world projects; some are astonishing, some are intriguing, and some are quite surreal. But one thing’s for sure: all are powerful demonstrations of Agentic AI’s potential to utterly transform the business landscape.

So come join me on this comprehensive 6-week journey. By the end, you will have mastered Agentic AI. You will have expertise in all the major frameworks. You’ll be well-versed in the strengths and traps of Agentic AI. You’ll confidently unleash Autonomous Agents to solve real-world commercial problems. And along the way, you’ll have had a whole lot of fun with the astounding, groundbreaking technology that is Agentic AI.

Welcome to Agentic AI Made Simple — a hands-on, beginner-friendly, analogies driven course designed to help you understand and build AI agents that don’t just respond, but think, decide, and act.

In this course, you'll explore why Agentic AI is a game-changer, how it's different from traditional systems like RAG (Retrieval-Augmented Generation), and where it fits in real-world applications. Through simple analogies, clear examples, and practical breakdowns, you’ll learn:

What makes an AI "agentic"

When and why to use agents

How to build your own agents from the ground up

How Amazon Bedrock makes it easier to deploy

And how multiple agents can work together to solve complex tasks

Whether you're a developer, tech lead, or curious learner, this course will give you the fundamentals, tools, and confidence to start building agent-based AI solutions — without getting lost in technical jargon.

If you’re ready to move beyond prompts and into real AI systems that do, not just say — this course is your launchpad.

Everything is explained with examples, analogies, and hands-on-exercises — no unnecessary complexity, just practical knowledge you can use.

By the end of this course, you’ll be equipped with the skills and understanding to not just talk about Agentic AI — but to build with it.

Let’s shape the future of AI — from fluent talkers to autonomous doers.

Welcome to my course Build GenAI & Multi-Agent Systems Tools for Software Testing

In this hands-on course, you’ll learn to harness the power of Generative AI, AI Agents, and Multi-Agent Systems to build real-world tools for software testing. Whether you’re a QA engineer, SDET, or developer aiming to level up your automation skills, this course equips you with practical techniques to bring AI-driven efficiency into your testing lifecycle.

Today, QA engineers are no longer limited to writing test cases and checking logs manually. With the rapid growth of LLMs (like ChatGPT, LLaMA, and Gemini) and frameworks like LangChain and AutoGen, you can now build autonomous test agents, automate log analysis, and even create collaborative multi-agent testing systems. This course gives you the tools, patterns, and hands-on skills to make that leap.

By the end of this course, you will be able to:

Understand the core concepts behind GenAI, AI Agents, and Multi-Agent Systems

Run powerful open-source LLMs locally using Ollama (no paid API needed)

Use LangChain to build intelligent tools and agents for QA automation

Create custom tools that read PDFs, parse logs, and generate test cases

Store and query data using vector stores with embeddings

Build a RAG-powered agent that analyzes logs using context retrieval

Develop a Test Case Generator Agent from product requirements

Use Playwright with agents to simulate web scraping and behavior testing

Orchestrate multi-agent collaboration using AutoGen and AutoGen Studio

Construct fully automated agents that read requirements and output test cases

Design multi-agent QA systems that mimic real QA workflows with minimal human input

Why This Course is Unique

Most AI courses focus on chatbots or language tasks. This course goes deep into the testing lifecycle and shows you how to build intelligent, context-aware agents for software quality assurance. You’ll move beyond theory and actually build working tools that:

Read your requirements

Understand logs and test results

Generate test scripts and summaries

Work together as a team of AI testers

All using open-source tools, local models, and practical Python code.

Tired of juggling endless customer calls, appointment bookings, and lead generation?

Imagine having an AI Voice Agent that handles these tasks for you—flawlessly and 24/7.

What if you could:

Automate customer support without sacrificing quality?

Scale your outreach efforts while cutting costs?

Build AI-powered voice agents in minutes, no coding needed?

Well, I've got good news for you. With AI Voice Agents, all of this becomes a reality. Let me show you how in this ultimate course designed to help you transform your phone operations into a fully automated, revenue-driving powerhouse.

Welcome to "Mastering AI Voice Agents"

In this comprehensive course, you’ll dive deep into the world of AI-driven voice automation, learning how to build, design, integrate, deploy, monetize and optimize AI Voice Agents for a variety of business applications. Whether you're a beginner exploring AI for the first time or an experienced professional looking to scale operations, this course has everything you need.

What You’ll Learn:

Build AI Voice Assistants Effortlessly: Build, Design, Deploy and Monetize agents effortlessly without coding.

Handle Real Conversations: Create agents capable of managing objections, scheduling appointment, answering queries, and engaging naturally with customers.

Leverage Powerful Integrations: Connect AI agents with tools like Retell AI, Make (formerly Integromat), Go High level (GHL), n8n, Zapier, Airtable, Google Sheets, Hubspot and CRMs for seamless workflows.

Automate Appointment Booking: Design 24/7 systems that handle scheduling with precision.

Streamline Cold Calling: Create advanced AI-powered call centers for lead generation and cold call outreach.

Personalize AI Assistants: Clone voices and design agents tailored to your business needs.

Implement Multi-State Agents: Develop agents capable of managing complex conversations and tasks.

Course Highlights:

Hands-On Projects: Build functional AI agents step-by-step with real-world use cases.

Deep Dive into AI Functionality: Learn advanced features like multi-prompt engineering, inbound and outbound call handling, and integration workflows.

Business Applications: Explore monetization strategies, AI automation agency (AAA) setups, and industry-specific implementations.

Tools and Resources: Gain access to automation workflow, prompts, templates and practical guides to start implementing AI immediately.

By the End of This Course, You’ll Be Able To:

Automate repetitive tasks, saving time and reducing operational costs.

Build scalable AI systems to improve customer engagement.

Qualify leads, book appointments, and enhance outreach with ease.

Create a profitable automation agency or optimize existing business processes.

Complete with working downloadable resources including blueprints, prompts, and templates. You'll be able to work alongside me.

Take a look at our FREE PREVIEW lessons and get a feel for what you’ll learn!

Start Building Your AI Call Assistants Today

Don't hesitate; sign up right away to begin developing your AI Voice Agents. This extensive course will teach you how to build intelligent AI call assistants that can automate lead generation, cold calls, appointment scheduling, outbound and inbound calls, and customer care for your company!

I'm excited to meet you in lesson 1!