
Explore how genetic AI turns LLM brains into agents that think, act, and automate business tasks. Build AI applications like a financial analyst and a hiring management system using agents.
Explore the fundamentals of agentic AI, focusing on environments, tools, and autonomous decision making that enable live LinkedIn job scraping with Crew AI and AutoGen.
Explore real-world agentic AI in action with tools like Jasper and Copy.ai, Intercom, Ada, and Tableau, showing faster campaign creation, automated customer support, and data-driven insights.
Explore reactive, deliberative, goal-based, utility-based, and learning AI agents, and see how multi-agent systems coordinate to power real-world tools like spam filters, virtual assistants, and code assistants.
Discover how agency in AI enables autonomous decision-making while keeping you in the loop. See how AI agents handle repetitive tasks, coordinate workflows, and amplify human potential.
Explore the differences between agency and automation in AI agents, balancing reliability, efficiency, adaptability, goal alignment, and the risk of unintended actions.
Define a clear goal, gather perception data, and use reinforcement learning, deep learning, and probabilistic modeling to decide and act autonomously, improving through feedback loops.
Explore four design patterns for ai agents—reflection, tool use, planning, and multi-agent collaboration—using Autogen; build a coding copilot and a customer support copilot for real-world domains.
learn how to install crew ai, configure a multi-agent workflow, and set up a new project with agents, tasks, and tools, including python version checks and basic terminology.
Build a multi-agent decision system using crew ai in Colab, defining five agents (stock performance, risk, compliance, sentiment, and investment) to analyze stocks and generate buy, hold, or sell.
Build an ai powered hiring system in a hands on project using crew ai, LangChain, and OpenAI, parsing job descriptions and resumes, scoring compatibility, and generating personalized candidate outreach emails.
Explore how Autogen Studio enables Agentic AI to dynamically generate tasks, optimize workflows, and integrate with tools like Slack, AWS, and Google Cloud.
Install Anaconda, create and activate a dedicated Autogen Studio environment, set the OpenAI API key, install Autogen Studio, and launch the UI to build teams and agents.
Explore building a multi-agent code optimization workflow in Autogen Studio, using code reader, performance optimizer, memory optimizer, and code refactor agents to optimize bubble sort and verify results.
Build a personalized content generator with Autogen Studio in a no-code setup, combining persona analyzer, trend analyzer, content generator, and editor for influencer short videos.
Explore how agentic AI addresses bias and fairness while safeguarding privacy with encryption, federated learning, and real time anomaly detection, and examine hard coded ethical constraints versus adaptability shaping AI.
Explore how agentic AI becomes a partner and co-creator, accelerating progress, guiding high-stakes decisions, and supporting emotions, creativity, and innovative breakthroughs.
Are you ready to dive into the world of Agentic AI and learn how to build intelligent systems that can think, act, and solve problems autonomously? This comprehensive course is designed for beginners and intermediate learners who want to understand the core principles of Agentic AI, explore real-world applications, and gain hands-on experience with cutting-edge tools like Crew AI and AutoGen Studio.
In this course, you’ll:
Understand the fundamentals of Agentic AI, including key concepts like agency, automation, and the different types of AI agents (reactive, goal-based, utility-based, and learning agents).
Explore real-world examples of Agentic AI in action, from financial decision-making systems to AI-powered hiring tools.
Build practical projects using Crew AI and AutoGen Studio, including a financial decision-making system, a hiring system, a code optimization tool, and a personalized content generator.
Dive into ethical considerations like bias, fairness, and transparency in AI systems, and explore the future of human-agent collaboration.
Whether you’re a developer, data scientist, AI enthusiast, or business professional, this course will equip you with the skills and knowledge to design and implement intelligent AI systems that can solve complex problems and drive innovation.
By the end of this course, you’ll:
Have a solid understanding of Agentic AI principles and mechanisms.
Gain hands-on experience with Crew AI and AutoGen Studio through guided projects.
Be able to design and deploy AI systems that can act autonomously and solve real-world challenges.
Understand the ethical implications of Agentic AI and how to build fair, transparent, and unbiased systems.
Why enroll in this course?
Practical, project-based learning: Build real-world AI systems from scratch.
Expert insights: Learn from industry experts through exclusive video lectures.
Future-focused: Explore the ethical and societal implications of Agentic AI.
Beginner-friendly: No prior experience in AI? No problem! This course starts with the basics and gradually builds your skills.
Join me on this exciting journey into the world of Agentic AI and take the first step toward mastering the future of intelligent systems. Enroll now and start building AI systems that can think and act for themselves!
What You’ll Learn
By the end of this course, you will be able to:
Understand the key concepts and fundamentals of Agentic AI.
Differentiate between agency and automation in AI systems.
Build real-world projects using Crew AI and AutoGen Studio.
Design intelligent systems that can solve complex problems autonomously.
Address ethical considerations like bias, fairness, and transparency in AI.
Explore the future of human-agent collaboration and its implications.
Course Requirements
A basic understanding of Python programming (recommended but not mandatory).
A computer with internet access to install and run Crew AI and AutoGen Studio.
No prior experience in AI is required—this course starts from the basics!
Who This Course Is For
This course is perfect for:
Developers and data scientists looking to expand their AI skills.
AI enthusiasts curious about Agentic AI and its applications.
Business professionals who want to understand how AI can solve real-world problems.
Students and beginners interested in learning about AI in a practical, hands-on way.