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THE BERG CODEX

AWS in the AI Era: A Complete Guide to Building Intelligent Applications in the Cloud

AWS in the AI Era: A Complete Guide to Building Intelligent Applications in the Cloud

Regular price $50.00 USD
Regular price $97.00 USD Sale price $50.00 USD
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Master AI Development on Amazon Web Services – The 2025 Essential Guide

⭐⭐⭐⭐⭐ Rated 5 Stars by Thousands of Developers Worldwide

💥 LIMITED TIME: $50 (Save 49% off $97)

Build, Deploy, and Scale Production-Ready AI Applications on AWS

Whether you're a developer diving into machine learning, a data scientist moving to the cloud, or a business leader exploring AI transformation, this comprehensive guide provides everything you need to harness AWS for artificial intelligence in 2025 and beyond.


What Makes This Guide Different

  • Practical, hands-on projects with complete Python code examples
  • Step-by-step tutorials from basics to advanced AI deployment
  • Real-world case studies from successful AWS AI implementations
  • Cost optimization strategies to maximize your cloud budget
  • Production-ready patterns for scaling AI applications

What You'll Master

Foundation & Strategy

  • AI landscape in 2025: trends, opportunities, and industry applications
  • AWS fundamentals: accounts, regions, pricing models, and service selection
  • Architecting scalable AI solutions on AWS infrastructure

Core AWS AI Services

  • Amazon SageMaker: Train, tune, and deploy custom ML models
  • EC2 GPU Instances: Configure high-performance computing for deep learning
  • AWS Lambda: Build serverless AI applications that scale automatically
  • Amazon Rekognition: Computer vision and image analysis
  • Amazon Comprehend: Natural language processing and sentiment analysis
  • Amazon Lex: Conversational AI and chatbot development
  • Amazon Polly: Text-to-speech for voice-enabled applications

Advanced Implementation

  • Building complete data pipelines for ML workflows
  • Model training optimization and hyperparameter tuning
  • Deployment strategies: batch inference, real-time endpoints, edge computing
  • Monitoring, logging, and maintaining AI models in production
  • Security best practices and compliance for AI applications
  • Cost management and resource optimization techniques

Practical Projects

  • Image classification system with SageMaker
  • Serverless sentiment analysis API
  • Real-time recommendation engine
  • Automated document processing pipeline
  • Voice-enabled customer service bot

Perfect For

Software Developers building AI features into applications
Data Scientists transitioning to cloud-based ML workflows
AI Engineers deploying production models at scale
Startup Founders launching AI-powered products cost-effectively
Business Leaders understanding practical AI implementation
Students & Career Changers entering the AI/ML field


What Readers Are Saying

"The clearest AWS AI guide I've found. Took me from zero to deploying my first model in a week."
⭐⭐⭐⭐⭐ – Software Engineer, USA

"Perfect balance of theory and practice. The cost optimization tips alone saved my startup thousands."
⭐⭐⭐⭐⭐ – Startup Founder, Europe

"Finally, a book that doesn't assume you're already an AWS expert. Highly practical and well-structured."
⭐⭐⭐⭐⭐ – Data Scientist, Asia


Bonus Content Included

  • Downloadable code repository with all project examples
  • Quick reference guides for AWS AI services
  • Cost calculator templates for budget planning
  • Architecture diagrams for common AI patterns
  • Future trends report on emerging AWS AI capabilities

Your Investment

Regular Price: ~~$97~~
Today's Price: $50
You Save: $47 (49% OFF)

Limited-Time Launch Pricing – Price increases to $67 soon


100% Satisfaction Guarantee

If this guide doesn't help you build AI applications on AWS, contact us for a full refund. No questions asked.


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