Udemy – Complete Generative AI Course With Langchain and Huggingface

Description

Complete Generative AI Course with Langchain and Huggingface

Course Requirements

To get the most out of this course, you should have:

• Familiarity with Python programming, including basic syntax, data structures, and functions.

• Basic understanding of machine learning concepts, including supervised and unsupervised learning, and foundational AI principles.

• Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a plus, but not required.

• Understanding of APIs and how to interact with them, as the course includes integrating various APIs for AI model deployment.

• Ability to navigate and execute commands in a command line interface (CLI) or terminal.

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Course Description

Unlock the full potential of Generative AI with our comprehensive course, “Complete Generative AI Course with Langchain and Huggingface.” This course is designed to take you from the basics to advanced concepts while providing hands-on experience in building, deploying, and optimizing AI models.

Through practical tutorials and real-world projects, you will learn how to leverage Langchain and Huggingface to create cutting-edge generative AI applications. Whether you’re an AI enthusiast, developer, or professional, this course equips you with the skills to develop, deploy, and scale AI solutions effectively.

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What You Will Learn

1. Introduction to Generative AI

• Understand the fundamentals of Generative AI and its real-world applications.

• Explore the differences between traditional AI models and generative models.

2. Getting Started with Langchain

• Learn the core concepts of Langchain and its role in AI development.

• Set up your development environment with all necessary tools.

3. Huggingface Integration

• Integrate Huggingface’s state-of-the-art models into your projects.

• Customize and fine-tune models for specific tasks and applications.

4. Building Generative AI Applications

• Step-by-step tutorials to create advanced generative AI tools.

• Build chatbots, content generators, and data augmentation solutions.

5. Deployment Strategies

• Explore various strategies for deploying AI models.

• Deploy models on cloud platforms or on-premise servers for scalability and reliability.

6. RAG (Retrieval-Augmented Generation) Pipelines

• Develop RAG pipelines to enhance AI model performance.

• Combine generative models with retrieval systems for better information access.

7. Optimizing AI Models

• Techniques for monitoring and optimizing deployed AI systems.

• Learn best practices for maintaining and updating AI applications.

8. End-to-End Projects

• Hands-on projects providing real-world experience.

• Build, deploy, and optimize AI applications from scratch.

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Who Should Take This Course

This course is ideal for:

• AI and Machine Learning Enthusiasts looking to expand their knowledge in generative AI.

• Data Scientists and Machine Learning Engineers seeking practical deployment experience.

• Software Developers interested in integrating advanced AI capabilities into their applications.

• NLP Practitioners aiming to leverage cutting-edge AI tools.

• Students, Academics, and Innovators passionate about AI research and projects.

• Technical Entrepreneurs and AI Hobbyists exploring AI-driven solutions.

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Why Enroll?

By the end of this course, you will be able to:

• Build, deploy, and optimize state-of-the-art generative AI applications.

• Leverage Langchain and Huggingface for real-world AI projects.

• Gain hands-on experience with cutting-edge AI tools and deployment strategies.

Take your AI skills to the next level and become a master in Generative AI today!

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.