All Quarters - Class01- Generative AI Fundamentals: From Basics to Beyond with PIAIC

👋 Hey AI Enthusiasts! Discover the world of Generative AI in this comprehensive video. We delve into the fundamentals, exploring what Generative AI is, how it works, and its potential to revolutionize industries. Understand the critical role of hardware like CPUs, GPUs, and NPUs in powering these intelligent systems. Explore the vast ecosystem of Generative AI, including Large Language Models (LLMs), cloud platforms, and open-source options. Join us as we discuss the implications of Generative AI and its potential to reshape our world.
This video is an orientation for our " Certified Cloud Native Applied Generative AI Engineer " Course at PIAIC Platform.
📚 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:
- github.com/pan...
- 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 )
- **Join Our Community**: Become a part of our growing Facebook group and stay updated with all the latest content and discussions:
[Official Facebook Group]( / 207857240128729 )

[@MeharAli-d8h]

Many many Thanks All PIAIC🎉

[@user-ck3rv4yt8s]

Well explained sir ameen alam

[@Asadsabir-e9n]

wounderfull

[@mahnoorfatimafaizi1011]

What skills must be needed to join this course?

[@MuhammadVlogzs]

no any specific skills

[@asadiftikhar8813]

gudluck

[@amjadalibhatti4764]

Good

[@ahmedbadar3398]

24-july-2024=1=applied gen ai

[@MZMZ-ir2gy]

😢🎉🎉🎉🎉🎉

[@HarryAnderson-z3w]

Rodriguez Robert Brown Daniel Smith Eric

[@DesiMuscles]

Sir junaid teaching skills are not good ... may be he is a good programmer but not a good teacher