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Gen Ai: From Basics To Advanced Level - AD-TEAM - 12-27-2024
![[Image: 293fa98f2d2ed545de44b0235dc05667.jpg]](https://i124.fastpic.org/big/2024/1227/67/293fa98f2d2ed545de44b0235dc05667.jpg)
Gen Ai: From Basics To Advanced Level
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 13.53 GB | Duration: 16h 41m
Master generative AI concepts, from basics to advanced, and gain practical experience with real-world projects
What you'll learn
Understand AI Basics
Explore Generative AI Models
Data Collection & Prep Skills
Create with GANs (Generative Adversarial Networks)
Text Generation Techniques
Train Models with Real Datasets
Fine-Tuning and Improving Models
Requirements
Some familiarity with Python programming is helpful, as Python will be used for creating AI models in the course.
Description
Generative AI: From Basics to Expert with Hands-On is a comprehensive course designed to take students through the exciting world of generative artificial intelligence. Starting with foundational concepts, students will learn the basics of Generative AI, including an introduction to Large Language Models (LLMs) and the importance of prompt engineering, a crucial skill for guiding AI responses. The course dives deeper into essential topics such as word embeddings and artificial neural networks, which form the backbone of generative models. Through hands-on practice, students will work with popular frameworks like Hugging Face and Lang Chain to apply LLMs in real scenarios, such as processing data from PDFs or Wikipedia and creating meaningful outputs. Students will also learn Retrieval-Augmented Generation, applying LLMs to private datasets to provide customized solutions. Beyond that, they'll build intelligent agents capable of performing tasks independently, a skill that has real-world applications in automation and productivity.Additionally, the course covers advanced theories, such as deep learning algorithms and Transformers, offering insights into how these technologies reshape content creation, code generation, and translation. Generative AI skills are in high demand across industries, making this course a powerful step toward a career in this transformative field. Through this hands-on approach, students will be prepared to leverage generative AI's potential and gain valuable expertise for future opportunities.
Overview
Section 1: Introduction to Gen AI
Lecture 1 Introduction
Lecture 2 Work with LLM and prompt engineering
Section 2: Machine Learning
Lecture 3 Linear Regression Analysis
Lecture 4 Logistic Regression
Lecture 5 Assignment-1
Lecture 6 Assignment-1 Solution
Section 3: Artificial Neural Networks (ANN)
Lecture 7 ANN
Lecture 8 ANN algorithm
Section 4: Word Embeddings
Lecture 9 Introduction to Word Embedding
Lecture 10 Word to Vector
Lecture 11 Assignment-2
Lecture 12 Assignment-2 Solution
Section 5: Hugging Face
Lecture 13 Introduction to Hugging Face
Lecture 14 Hugging Face Models
Lecture 15 Assignment-3
Lecture 16 Assignment-3 Solution
Section 6: LLM Life Hacking
Lecture 17 Open source LLM
Lecture 18 Basics of Lang Chain-1
Lecture 19 Basics of Lang Chain-2
Lecture 20 Assignment -4
Lecture 21 Assignment -4 solution
Lecture 22 Lang Chain Models IO-1
Lecture 23 Lang Chain Models IO-2
Lecture 24 Assignment -5
Lecture 25 Assignment-5 Solution
Lecture 26 Introduction to RAG (Retrieval Augmented Generation)
Lecture 27 RAG Validation
Lecture 28 Assignment -6
Lecture 29 Assignment -6 Solution
Lecture 30 Mastering Chatbots & Memory with Lang chain
those who want to expand their skills into the growing AI field and work with advanced models will find this course useful.
![[Image: NqIQWKmI_o.jpg]](https://images2.imgbox.com/45/49/NqIQWKmI_o.jpg)