The Developing Generative AI Applications on AWS Training course provides software developers with the knowledge and hands-on experience needed to design, build, and deploy modern Generative AI applications using AWS services and large language models.

Participants will learn how to leverage Amazon Bedrock, LangChain, and modern Large Language Models (LLMs) to create intelligent AI-powered applications. The course covers key concepts including Prompt Engineering, Foundation Models, Retrieval-Augmented Generation (RAG), application security, architecture design, and best practices for building production-ready generative AI solutions.

Through practical labs and real-world use cases, learners will gain experience developing chatbots, text summarisation solutions, question-answering systems, code generation applications, and other enterprise AI workloads while applying AWS best practices for scalability, security, and performance.

We can organize this training at your preferred date and location.

Prerequisites

Participants should have:

Completed AWS Technical Essentials
Intermediate proficiency in Python
Familiarity with AWS services
Basic understanding of cloud computing concepts

Who Should Attend

This course is designed for:

Software Developers
AI Application Developers
Machine Learning Engineers
Cloud Developers
Full Stack Developers
Data Engineers
Technical teams building generative AI applications
Professionals interested in Amazon Bedrock and LangChain

What You Will Learn

By the end of this course, participants will be able to:

Explain the relationship between Generative AI and Machine Learning.
Identify business opportunities for generative AI solutions.
Assess and mitigate risks in AI projects.
Build AI applications using Amazon Bedrock.
Apply advanced Prompt Engineering techniques.
Develop AI workflows with LangChain.
Implement Retrieval-Augmented Generation (RAG) architectures.
Design secure and scalable AI applications.
Apply architecture patterns for a variety of AI use cases.

Training Outline

Day One

Module 1: Introduction to Generative AI – The Art of the Possible

Fundamentals of Machine Learning
Introduction to Generative AI
Understanding Large Language Models (LLMs)
Generative AI Use Cases
Business Opportunities and Value
Risks and Benefits of Generative AI

Module 2: Planning a Generative AI Project

AI Project Lifecycle
Requirements Analysis
Risk Assessment
Risk Mitigation Strategies
AI Governance Considerations

Module 3: Getting Started with Amazon Bedrock

Introduction to Amazon Bedrock
Foundation Models Overview
Using Bedrock within AWS Console
AI Service Integrations
Hands-On Demonstration

Module 4: Foundations of Prompt Engineering

Introduction to Prompt Engineering
Prompt Design Principles
Advanced Prompt Techniques
Prompt Security
Preventing Prompt Misuse
Bias Mitigation Strategies

Hands-On Exercise

Prompt Optimisation
Prompt Tuning
Bias Mitigation Techniques

Day Two

Module 5: Amazon Bedrock Application Components

Datasets
Embeddings
Vector Databases
Retrieval-Augmented Generation (RAG)
Application Security
AI Data Management

Module 6: Amazon Bedrock Foundation Models

Bedrock Foundation Models
Model Selection Strategies
Foundation Model Use Cases

Hands-On Lab

Zero-Shot Text Generation
Prompt-Based Content Generation

Module 7: Building Generative AI Applications with LangChain

LangChain Architecture
AWS Integration
LangChain Agents
Prompt Templates
Chat Models
Document Loaders

Hands-On Lab

Building Applications with LangChain
AI Workflow Design

Module 8: Generative AI Architecture Patterns

Enterprise AI Architectures
Scalable AI Solutions
Secure AI Design
AWS-Based Generative AI Architectures

Hands-On Scenarios

AI Chatbot Development
Text Summarisation
Question Answering Systems
Code Generation
End-to-End Application Development with Amazon Bedrock and LangChain

Why Choose Us

Experience Developing Generative AI Applications on AWS through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from anywhere in the world or arrange a dedicated online training program for your organization.

Experience Developing Generative AI Applications on AWS in a professional face-to-face classroom environment. Classroom Based training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class exclusively for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Developing Generative AI Applications on AWS as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Bilginç IT Academy trainers can travel internationally to deliver dedicated training programs at your preferred location.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Developing Generative AI Applications on AWS Training

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Day One

Module 1: Introduction to Generative AI – The Art of the Possible

Module 2: Planning a Generative AI Project

Module 3: Getting Started with Amazon Bedrock

Module 4: Foundations of Prompt Engineering

Hands-On Exercise

Day Two

Module 5: Amazon Bedrock Application Components

Module 6: Amazon Bedrock Foundation Models

Hands-On Lab

Module 7: Building Generative AI Applications with LangChain

Hands-On Lab

Module 8: Generative AI Architecture Patterns

Hands-On Scenarios

Why Choose Us