The Applied AI and Natural Language Processing Workshop

Build Practical AI and NLP Skills on AWS 💻

Working with cloud AI services often feels abstract until you connect them to real projects. This workshop changes that. Written by Krishna Sankar, Jeffrey Jackovich, and Ruze Richards, it guides you through hands-on exercises using Amazon Web Services to add natural language processing, computer vision, and conversational AI to applications.

The book moves quickly from AWS fundamentals into direct experimentation, so you learn by doing rather than reading about theory in isolation. Each chapter introduces a service, explains what it does, and then walks through concrete exercises and activities.

Explore Text, Speech, and Image Intelligence 🧠

The material covers a practical range of AWS AI tools:

• Amazon Comprehend for language detection, entity recognition, key phrase extraction, and sentiment analysis.
• AWS Lambda to build serverless NLP workflows that respond to new data automatically.
• Amazon Lex and Amazon Connect to create conversational chatbots and connect them to a phone-based call center.
• Amazon Rekognition for object detection, content moderation, facial analysis, celebrity recognition, and text extraction from images.
• Topic modeling with Latent Dirichlet Allocation to discover themes in document collections.

Learn Through Guided Exercises

Instead of presenting a wall of documentation, the book uses numbered exercises and end-of-chapter activities. You’ll start with S3 data management, configure the AWS CLI, and then gradually combine services into working pipelines. That structure helps build confidence with each new API before adding complexity.

Who Will Get the Most from This Workshop

This ebook is well suited to developers, data analysts, and technically curious readers who want hands-on experience with AWS AI services. Some familiarity with Python is helpful, since examples use the AWS SDK for Python (boto3), but the step-by-step guidance keeps the learning curve approachable.

A Practical Path to Intelligent Applications

By the time you finish, you’ll have worked with real cloud services, built a chatbot, analyzed images, and extracted insights from text. The focus stays on turning simple projects into capable AI-powered applications without getting lost in theoretical detail.