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. Contact Us!

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 live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Developing Generative AI Applications on AWS Training. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
Scalable Delivery: Accessible worldwide with flexible scheduling to meet your professional needs through our globally available virtual classrooms.

Immerse yourself in our most sought-after learning style for Developing Generative AI Applications on AWS Training. Our hand-picked classroom venues offer an invaluable human touch, providing a focused and interactive environment for professional growth.

Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Developing Generative AI Applications on AWS Training. Experience expert-led learning at your own business premises, tailored to your corporate goals.

Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.

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

Online Instructor-Led Training (VILT)

Classroom Based Learning

Onsite / In-House Learning

Developing Generative AI Applications on AWS Training Course Schedule