What you'll learn:
- Understand Natural Language Processing (NLP) fundamentals and real-world applications
- Work with Large Language Models (LLMs) and modern Generative AI tools
- Build Autonomous AI Agents using OpenClaw with real automation workflows
- Use LangChain and HuggingFace to create AI-powered applications
- Apply prompt engineering techniques and best practices
- Build interfaces for AI apps using Gradio
- Explore frontier AI models including DeepSeek and Google NotebookLM
- Understand Generative AI across cloud platforms like Azure AI Services, Azure AI Foundry, Google Cloud, and Amazon Bedrock
- Perform text preprocessing including tokenization, lemmatization, POS tagging, and NER
- Build machine learning models for text classification
- Work on real-world NLP projects such as spam detection, sentiment analysis, and review classification
- Understand word embeddings and FastText for text representation
Hi Data Lovers,
Welcome to a complete learning journey into Natural Language Processing, Generative AI, Large Language Models (LLMs), and Autonomous AI Agents.
This course combines NLP foundations, real-world projects, modern LLM frameworks, and cloud AI platforms — helping you understand how today’s intelligent systems are built and deployed.
From classic NLP techniques to advanced Generative AI tools like LangChain, HuggingFace, Azure AI Services, Amazon Bedrock, and OpenClaw Agents, you will gain both practical skills and real-world understanding.
Build Autonomous AI Agents with OpenClaw
A dedicated section introduces OpenClaw, where you will learn how modern AI agents automate workflows using LLMs.
Inside this module, you will:
Create a Linux VM on Google Cloud
Install and configure OpenClaw step by step
Connect AI models and API keys
Understand Terminal UI and Gateway
Integrate WhatsApp automation
Run automation tasks like file creation, scheduling, and web summarization
This section shows how Generative AI connects with real automation systems.
Modern Generative AI and LLM Ecosystem
Learn the latest tools and platforms shaping the AI landscape:
Getting Started with LLMs and Frontier Models
DeepSeek and Google NotebookLM
Build Applications using Gradio
Prompt Engineering Basics and Best Practices
LangChain and HuggingFace Frameworks
You will understand how to design prompts, build LLM workflows, and integrate AI into real applications.
Cloud AI Platforms
Explore how Generative AI works across major cloud providers:
Generative AI using Google Cloud Platform
Azure AI Services (Azure OpenAI Service)
Azure AI Foundry Service (Azure AI Studio)
Prompt Flow in Azure AI Foundry
Amazon Bedrock
NLP Foundations and Hands-On Projects
Build strong fundamentals in Natural Language Processing with practical examples:
Installation and Setup
Basics of Natural Language Processing
Spam Message Classification
Restaurant Review Prediction
IMDB, Amazon and Yelp Review Classification
Automated Text Summarization
Twitter Sentiment Analysis
Deep Learning, Word Embeddings and Text Generation
Word Embeddings and semantic text representation
FastText Library for Text Classification
Automatic Text Generation using TensorFlow, Keras and LSTM
Learn how deep learning models understand and generate human language.
What You Will Get
Step-by-step practical lectures
Real-world NLP and Generative AI projects
Hands-on OpenClaw Agent workflows
Lifetime access to course content
Certificate of completion
Start your journey into LLMs, Generative AI, and Autonomous AI Agents and learn how modern AI applications are built from foundation to advanced level.
