OpenClaw Agents, LangChain, HuggingFace, LLM & Gen AI

Students : 19K+
Duration : 20.5 hours
Avg Rating : 4.5
Original Price : $119.99
Discount Price : $9.99
Instructor / Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code

What You Will Learn in This Generative AI & NLP Course

Artificial Intelligence is transforming how businesses automate tasks, analyze data, and build intelligent applications. In this course, you will gain practical knowledge of Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI tools that are widely used in modern AI systems.

1. Foundations of Natural Language Processing (NLP)

You will begin by understanding the core concepts of NLP and how computers process human language. The course explains how NLP is used in real-world applications such as chatbots, search engines, text analytics, and virtual assistants.

2. Working with Large Language Models (LLMs)

Learn how modern LLMs power Generative AI applications. You will explore how these models generate text, answer questions, and assist in building intelligent automation systems.

3. Building Autonomous AI Agents

Discover how to build AI agents capable of performing automated workflows using OpenClaw. These agents can complete tasks independently by interacting with data, APIs, and digital environments.

4. Developing AI Applications with LangChain and Hugging Face

The course introduces LangChain and Hugging Face, two popular frameworks used to develop AI-powered applications. You will learn how to integrate language models into real-world systems.

5. Prompt Engineering Techniques

Prompt engineering is one of the most important skills when working with Generative AI. You will learn how to design effective prompts to get accurate and reliable responses from AI models.

6. Building AI Interfaces with Gradio

To make AI tools user-friendly, you will learn how to create simple web interfaces using Gradio, allowing users to interact with AI models easily.

7. Exploring Advanced AI Models

The course also introduces frontier AI technologies such as DeepSeek and Google NotebookLM, helping you understand the latest innovations in the AI ecosystem.

8. Generative AI on Cloud Platforms

You will explore how Generative AI works on major cloud platforms including Microsoft Azure AI Services, Azure AI Foundry, Google Cloud, and Amazon Bedrock.

9. Text Preprocessing for NLP

Before building AI models, text data must be prepared. You will learn important preprocessing techniques such as:

• Tokenization

• Lemmatization

• Part-of-Speech (POS) tagging

• Named Entity Recognition (NER)

10. Machine Learning for Text Classification

Understand how machine learning models can classify text data for tasks like document categorization, spam filtering, and sentiment analysis.

11. Real-World NLP Projects

The course includes practical projects such as:

• Spam email detection

• Sentiment analysis for customer feedback

• Product review classification

12. Word Embeddings and FastText

Finally, you will explore word embedding techniques, including FastText, to convert text into numerical representations that machine learning models can understand.

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