Immerse yourself in hands-on generative AI and learn to create scalable AI applications based on AWS Bedrock—a modern cloud platform for working with foundation models. The updated material is structured for better readability and will help you quickly understand key concepts and move on to developing real-world solutions.
What You Will Learn
Basics of AWS Bedrock and Generative AI
You will understand how the modern generative artificial intelligence ecosystem is structured and why AWS Bedrock has become one of the key tools for creating enterprise AI solutions. You will grasp the application architecture and the principles of using foundation models without managing the infrastructure yourself.
Large Language Models (LLM)
Study the capabilities of LLM, their limitations, and key application scenarios: text generation, coding, intelligent chat systems, document analysis, and workflow automation.
Text, Code, and Image Generation
Learn to apply various AWS Bedrock models to create content, automate programming, generate images, and develop multimodal applications.
Fine-Tuning and Reinforcement Fine-Tuning
Master strategies for model improvement through fine-tuning and feedback-based training. Learn to integrate these methods into real AI systems.
Prompt Management and Optimization
Practically learn to design, test, and optimize prompts to create predictable and stable AI solutions.
Intelligent Model Routing
Learn how to automatically select optimal models for various tasks, considering cost, performance, and quality.
Batch Data Processing and Automation
Master Batch Inference and other automation technologies for working with large datasets, document analysis, and repetitive business processes.
Image Generation
Get acquainted with diffusion models and create your own application for image generation for applied tasks.
Quality Assessment and AI Safety
Study model testing methods, quality analysis, error prevention, and ensuring the safe use of AI systems.
Deployment and Scaling of AI Applications
In practice, create serverless infrastructure based on AWS Lambda, API Gateway, S3, and Bedrock. Learn to deploy and scale production AI services.
Creation of Next-Generation AI Agents
Develop intelligent agents based on Bedrock AgentCore that can perform complex tasks, interact with tools, and operate in real scenarios.
AI Agent Memory
Master short-term and long-term memory mechanisms that allow agents to retain context, remember user preferences, and personalize interaction.
Guardrails and Responsible AI
Learn to apply Amazon Bedrock Guardrails for filtering undesirable content, risk management, and adhering to standards for responsible AI use.
Model Comparison and Selection
Understand the differences between foundation models from different providers and learn to choose the best solutions for specific tasks.
AWS Bedrock Quotas and Limits
Understand how quotas and limits work, learn to predict load and design resilient AI systems.
Inference Profiles and Marketplace Models
Master advanced AWS Bedrock capabilities—inference profiles, additional models from the Marketplace, and tools to increase application resilience.
Advanced Features of AWS Bedrock
Dive into tools and practices used in modern corporate AI systems that go beyond just using prompts.
Practical Projects
You will create six complete projects that will form a strong portfolio and help reinforce all acquired knowledge:
- An AI system for document analysis and summarization;
- A service for extracting key data and decisions from texts;
- An application for generating text and software code;
- An image generation system;
- A multi-agent intelligent AI assistant;
- A real-time voice AI agent based on AWS Bedrock Nova Sonic.
Each project includes the full development cycle: architecture, logic implementation, integration with AWS services, testing, and deployment.
Who This Course Is For
The course is suitable for:
- Developers who want to master generative AI;
- Cloud solution engineers and architects with AWS;
- ML and Data Science specialists;
- Technical leaders and AI enthusiasts;
- Anyone who strives to create modern AI applications and integrate them into real business processes.
Learning Outcome
Upon completion of the course, you will be able to design, develop, and deploy full-fledged AI applications on AWS Bedrock, utilize modern foundation models, create intelligent agents, ensure model quality and safety, and integrate AI solutions into production environments.
