Q3,Q4,Q5 - Class -11: What are AI Agents and What is AI Agentic Architecture

👋 Hey AI Enthusiasts! In this video, we dive deep into AI Agents and explore the concept of AI Agentic Architecture. AI agents are intelligent entities capable of autonomously performing tasks and making decisions. We’ll cover how these agents interact with environments, learn from data, and adapt to achieve specific goals. Additionally, you'll discover the fundamental principles of agentic architecture—the framework that powers these autonomous systems. Whether you’re a beginner looking to understand AI agents or a developer interested in building agentic systems, this video will provide a comprehensive guide to both concepts.

Learn how AI agents are transforming industries, their role in modern applications like virtual assistants, autonomous driving, and robotics, and why AI agentic architecture is a key enabler for next-generation AI-driven technologies.

🔍 Topics Covered:

What are AI agents?
AI agentic architecture explained
How AI agents work in real-world applications
Key principles of agentic design
Future of AI agents in technology
Make sure to subscribe for more content on AI, machine learning, and advanced AI architecture!

📚 What Will You Learn? in this course
● Custom GPTs and Multi AI Agent Systems: Learn to fine-tuning foundational AI models, and market them in GPT stores. Learn key principles of designing effective AI agents, and organising a team of AI agents to perform complex, multi-step tasks. Apply these concepts to automate common business processes.
● Develop AI Powered Microservices: Master Python, build APIs using FastAPI, SQLModel, Postgres, Kafka, Kong, and leverage cutting-edge GenAI APIs like OpenAI, and Open Source AI LLMs.
● Cloud Native Expertise: Design and deploy cloud-native applications using Docker, DevContainers, TestContainers, Kubernetes, Terraform, and GitHub Actions.
● Distributed System Design: Designing systems that run on multiple computers (or nodes) simultaneously, interacting and coordinating their actions by passing messages over a network.
● Designing AI Solutions using Design Thinking and Behaviour Driven Development (BDD): We will learn to leverage these methodologies to create AI solutions that are not only technically sound but also highly user-centric and aligned with real-world needs.
● Fine-Tuning Open-Source Large Language Models using PyTorch, and Fast AI: We will learn to fine-tuning of open-source Large Language Models (LLMs) like Meta LLaMA 3 using PyTorch and Fast AI, with a focus on cloud-native training and deployment. We will set up development environments, preprocess data, fine-tune models, and deploy them using cloud native platforms.
● Physical AI and Humanoid Robotics: We will learn to design, simulate, and deploy advanced humanoid robots capable of natural interactions.


🛠️ Tools & Technologies Covered:
Poetry
Python
FastAPI
Docker
Kafka
Kong
Pytorch
ROS2

📌 Useful Links:
https://github.com/panaversity/learn-...
www.piaic.org

📣 Stay Connected:
Don't forget to like this video 👍, subscribe 🔔, and share 💌 it with your friends and colleagues who are interested in Python development and data science!

🎓 Perfect for beginners and experienced developers looking to enhance their Python skills!

#generativeai #artificialintelligence #AI #LLM #machinelearning #technology #future #CPU #GPU #NPU #cloudcomputing #opensource

**Connect with the Instructors**: Have questions? Want to connect? Find us on LinkedIn:
[Zia Khan](  / ziaukhan  )
[Qasim Sir](  / sirqasim  )

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