Free Download Udemy - Generative AI Mastery (2024)
Published 9/2024
Created by Boktiar Ahmed Bappy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 55 Lectures ( 15h 42m ) | Size: 12.8 GB
A Comprehensive Guide to Building, Deploying, and Optimizing Generative AI using Langchain and Huggingface
What you'll learn:
Create generative AI systems using OpenAI, Retrieval-Augmented Generation (RAG), and Large Language Model (LLM) Agents.
Leverage Apache Spark's MLLib to implement machine learning at large scale.
Perform predictions using linear regression, polynomial regression, and multivariate regression techniques.
Learn reinforcement learning and how to apply it by building a Pac-Man bot.
Apply train/test split and K-Fold cross-validation techniques to select and fine-tune your models for optimal performance.
Preprocess your data by cleaning it and removing outliers to ensure accurate model performance and reliable predictions.
Create artificial neural networks using TensorFlow and Keras to design, train, and optimize deep learning models efficiently.
Use deep learning techniques to classify images, analyze data patterns, and determine sentiments, enhancing the accuracy of complex tasks like visual recognitio
Create insightful data visualizations using Matplotlib and Seaborn. These Python libraries allow you to generate a variety of plots, charts, and graphs, helping
Classify data using various machine learning techniques like K-Means clustering for grouping, Support Vector Machines (SVM) for classification, K-Nearest Neighb
Building a movie recommender system using both item-based and user-based collaborative filtering involves several steps. Here's a high-level outline and some sa
Designing and evaluating A/B tests using T-tests and p-values involves several steps.
Requirements:
You'll need a desktop computer running Windows, Mac, or Linux that is capable of supporting Anaconda 3 or later versions. The course will guide you through the installation of the required free software.
A basic understanding of coding or scripting is required.
At least high school level math skills will be required.
Description:
Discover the limitless possibilities of Generative AI with our in-depth course, "Generative AI Mastery" This expertly designed program takes you on a journey from foundational principles to advanced techniques, offering a hands-on experience that equips you with the skills needed to excel in the world of Generative AI.Starting with the basics, the course introduces core concepts, ensuring that even those with limited AI knowledge can quickly grasp the fundamentals. As you progress, you'll delve into more complex topics, focusing on how to build, deploy, and optimize cutting-edge AI models. Using industry-leading tools such as Langchain and Huggingface, you'll learn to create robust AI solutions that can be applied to real-world scenarios.The course is highly practical, giving you ample opportunities to work with Generative AI models firsthand. You'll explore how to generate text, images, and other forms of content, while also mastering techniques for fine-tuning models to suit specific use cases. By the end of the course, you'll have built, optimized, and deployed AI models, gaining the confidence to integrate these technologies into your projects or professional work.This course is perfect for AI enthusiasts, developers, data scientists, and professionals looking to transition into the field of Generative AI. Whether you're just getting started or looking to enhance your existing AI knowledge, this course offers the tools and insights necessary to become proficient in one of the most transformative technologies of our time.With a focus on practical applications and hands-on learning, the "Complete Generative AI Course with Langchain and Huggingface" will empower you to unlock the full potential of Generative AI and apply it effectively in various domains.
Who this course is for:
This course is highly beneficial for software developers or programmers looking to transition into the rewarding field of data science and machine learning.
Technologists curious about how deep learning really works
Data analysts in finance or other non-tech industries who want to move into the tech sector can use this course to learn how to analyze data using code rather than traditional tools. However, some prior coding or scripting experience is necessary for success.
If you have no prior coding or scripting experience, you should NOT take this course - yet. Go take an introductory Python course first.
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