Developing Generative AI Applications on AWS

Written by Gemma Corrado on 11. March 2024. Posted in AWS Training, Training.

Aws Advanced Training Partner
Aws Premium Consuting Partner
200 Cert

Developing Generative AI Applications on AWS

Please find our upcoming course dates at the end of this page!

Course description

In this advanced two-day course, software developers learn to build and customize AI solutions by using Amazon Bedrock programmatically. Through hands-on exercises and labs, participants will invoke foundation models through Amazon Bedrock APIs, implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock Knowledge Bases, and develop AI agents with tool integration. The course focuses on the practical implementation of prompt engineering techniques, responsible AI practices with Amazon Bedrock Guardrails, open source framework integration, and architectural patterns for real-world business applications.

COURSE OBJECTIVES

In this course, you will learn to:

Develop generative AI applications using Amazon Bedrock.
Design architecture patterns of generative AI applications.
Configure Amazon Bedrock APIs to invoke foundation models (FMs) programmatically.
Develop agentic AI applications by integrating Amazon Bedrock tools and open source frameworks.
Build custom solutions with Retrieval Augmented Generation (RAG) and Amazon Bedrock Knowledge Bases.
Integrate open source SDKs with Amazon Bedrock to build business.
Optimize model responses by applying prompt engineering techniques.
Evaluate generative AI application components.
Implement responsible AI practices to protect generative AI.

INTENDED AUDIENCE

This course is intended for:

Software developers

PREREQUISITES

We recommend that attendees of this course have:

Completed the Generative AI Essentials course
Intermediate-level proficiency in Python
Familiarity with AWS Cloud

ACTIVITIES

This course includes:

Presentations
Demonstrations
Hands-on labs
Group exercises

COURSE DURATION / PRICE

2 days
€ 1,500.00 (excl. tax) per person (DE)

Course outline

Day 1
- Module 1: Exploring Components of Generative AI Applications on AWS
  - Understanding generative AI concepts
  - Identifying AWS generative AI stack components
  - Designing generative AI application components
- Module 2: Programming with Amazon Bedrock
  - Guiding model response generation
  - Using Amazon Bedrock programmatically
  - Hands-on lab: Develop with Amazon Bedrock APIs
  - Hands-on lab: Develop Streaming Patterns with Amazon Bedrock APIs
- Module 3: Applying Prompt Engineering for Developers
  - Introducing prompt engineering
  - Introducing prompt techniques
  - Optimizing prompts for better results
- Module 4: Using Amazon Bedrock APIs in Common Architectures
  - Implementing architecture patterns with Amazon Bedrock APIs
  - Exploring common use cases
  - Adding conversational memory to extend context
  - Hands-on lab: Develop Conversation Patterns with Amazon Bedrock APIs
- Module 5: Customizing Generative AI Responses with RAG
  - Implementing Retrieval Augmented Generation (RAG)
  - Using Amazon Bedrock Knowledge Bases
  - Hands-on lab: Develop Retrieval Augmented Generation (RAG) Applications with Amazon Bedrock Knowledge Bases
- Module 6: Integrating Open Source Frameworks with Amazon Bedrock
  - Invoking a foundation model in Amazon Bedrock using LangChain
  - Using LangChain for context-aware responses
  - Hands-on lab: Develop a Generative AI Application Pattern using Open Source Frameworks and Amazon Bedrock Knowledge Bases
Day 2
- Module 7: Evaluating Generative AI Application Components
  - Evaluating application components • Evaluating model output
  - Evaluating RAG output
  - Optimizing latency and cost
  - Hands-on lab: Evaluating Retrieval Augmented Generation (RAG) Applications
- Module 8: Implementing Responsible AI
  - Understanding responsible AI
  - Mitigating bias and addressing prompt misuses
  - Using Amazon Bedrock Guardrails
  - Hands-on lab: Securing Generative AI Applications Using Bedrock Guardrails
- Module 9: Using Tools and Agents in Generative AI Applications
  - Using tools
  - Understanding AI agents
  - Understanding open source agentic frameworks
  - Understanding agent interoperability
- Module 10: Developing Amazon Bedrock Agents
  - Implementing Amazon Bedrock Flows
  - Designing Amazon Bedrock Agents
  - Developing Amazon Bedrock Inline Agents
  - Designing multi-agent collaboration
  - Using Amazon Bedrock AgentCore
  - Hands-on lab: Developing Amazon Bedrock Agents Integrated with Amazon Bedrock Knowledge Bases and Guardrails

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
The Course language is German, on request also in English.

Neue Termine in Planung!

Amazon SageMaker Studio for Data Scientists

Written by Gemma Corrado on 11. January 2024. Posted in AWS Training, Training.

Aws Advanced Training Partner
Aws Premium Consuting Partner

Amazon SageMaker Studio for Data Scientists

Please find our upcoming course dates at the end of this page!

Course description

Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are a part of SageMaker Studio, including Amazon CodeWhisperer and Amazon CodeGuru Security scan extensions, to improve productivity at every step of the ML lifecycle.

COURSE OBJECTIVES

In this course, you will learn to:

Accelerate the process to prepare, build, train, deploy, and monitor ML solutions using Amazon SageMaker Studio

INTENDED AUDIENCE

This course is intended for:

Experienced data scientists who are proficient in ML and deep learning fundamentals

PREREQUISITES

We recommend that attendees of this course have:

Experience using ML frameworks
Python programming experience
At least 1 year of experience as a data scientist responsible for training, tuning, and deploying models
AWS Technical Essentials

ACTIVITIES

This course includes:

presentations
demonstrations
hands-on labs
discussions
a capstone project

COURSE DURATION / PRICE

3 days
€ 2,095.00 (excl. tax) per person (DE)

Course outline

Day 1
- Module 1: Amazon SageMaker Studio Setup
  - JupyterLab Extensions in SageMaker Studio
  - Demonstration: SageMaker user interface demo
- Module 2: Data Processing
  - Using SageMaker Data Wrangler for data processing
  - Hands-On Lab: Analyze and prepare data using Amazon SageMaker Data Wrangler
  - Using Amazon EMR
  - Hands-On Lab: Analyze and prepare data at scale using Amazon EMR
  - Using AWS Glue interactive sessions
  - Using SageMaker Processing with custom scripts
  - Hands-On Lab: Data processing using Amazon SageMaker Processing and SageMaker Python SDK
  - SageMaker Feature Store
  - Hands-On Lab: Feature engineering using SageMaker Feature Store
- Module 3: Model Development
  - SageMaker training jobs
  - Built-in algorithms
  - Bring your own script
  - Bring your own container
  - SageMaker Experiments
  - Hands-On Lab: Using SageMaker Experiments to Track Iterations of Training and Tuning Models
Day 2
- Module 3: Model Development (continued)
  - SageMaker Debugger
  - Hands-On Lab: Analyzing, Detecting, and Setting Alerts Using SageMaker Debugger
  - Automatic model tuning
  - SageMaker Autopilot: Automated ML
  - Demonstration: SageMaker Autopilot
  - Bias detection
  - Hands-On Lab: Using SageMaker Clarify for Bias and Explainability
  - SageMaker Jumpstart
- Module 4: Deployment and Inference
  - SageMaker Model Registry
  - SageMaker Pipelines
  - Hands-On Lab: Using SageMaker Pipelines and SageMaker Model Registry with SageMaker Studio
  - SageMaker model inference options
  - Scaling
  - Testing strategies, performance, and optimization
  - Hands-On Lab: Inferencing with SageMaker Studio
- Module 5: Monitoring
  - Amazon SageMaker Model Monitor
  - Discussion: Case study
  - Demonstration: Model Monitoring
Day 3
- Module 6: Managing SageMaker Studio Resources and Updates
  - Accrued cost and shutting down
  - Updates
- Capstone
  - Environment setup
  - Challenge 1: Analyze and prepare the dataset with SageMaker Data Wrangler
  - Challenge 2: Create feature groups in SageMaker Feature Store
  - Challenge 3: Perform and manage model training and tuning using SageMaker Experiments
  - (Optional) Challenge 4: Use SageMaker Debugger for training performance and model optimization
  - Challenge 5: Evaluate the model for bias using SageMaker Clarify
  - Challenge 6: Perform batch predictions using model endpoint
  - (Optional) Challenge 7: Automate full model development process using SageMaker Pipeline

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
The Course language is German, on request also in English.

Neue Termine in Planung!

Networking Essentials for Cloud Applications on AWS

Written by Gemma Corrado on 11. January 2024. Posted in AWS Training, Training.

Aws Advanced Training Partner
Aws Premium Consuting Partner

Networking Essentials for Cloud Applications on AWS

Please find our upcoming course dates at the end of this page!

Course description

The Networking Essentials for Cloud Applications on AWS course provides a comprehensive understanding of networking concepts and services within the Amazon Web Services (AWS) cloud environment. Designed for novice and experienced networking engineers, this course covers essential topics, best practices, and hands-on labs. Its purpose is to equip learners with the knowledge and skills that are required to design, configure, and optimize network infrastructure on AWS.

COURSE OBJECTIVES

In this course, you will learn to:

Design a networking infrastructure for a scalable production application, considering design trade-offs between different networking services.
Configure networking services for a highly available, resilient, and scalable application.
Implement the networking infrastructure according to evolving business requirements.
Implement networking best practices to align towards AWS Well-Architected Framework.

INTENDED AUDIENCE

This course is intended for:

Newly hired cloud engineers
On-premises IT engineers
Cloud architects
Cloud engineers
Network engineers

PREREQUISITES

We recommend that attendees of this course have:

Basic knowledge of networking concepts
Basic knowledge of AWS services
AWS Technical Essentials or Cloud Practitioner Essentials

ACTIVITIES

This course includes:

presentations
demonstrations
knowledge checks
three hands-on labs that revolve around a use case story

COURSE DURATION / PRICE

1 day
€ 750,00 (excl. tax) per person (DE)

Course outline

Day 1

Module 0: Course Introduction
- Introductions
- Course overview
- Use case introduction
Module 1: Networking on AWS
- IP addressing
- Amazon Virtual Private Cloud (Amazon VPC) fundamentals
- Subnets
- Amazon VPC IP Address Manager (IPAM)
- Elastic Network Interfaces
- Elastic IP addressing
- Route table
- Internet and NAT gateways
- Basic traffic filtering mechanisms for a VPC
- Knowledge check
Module 2: Load Balancing and Scaling on AWS
- Elastic Load Balancing (ELB)
- Cross-zone load balancing
- Auto Scaling group (ASG) basics
- Knowledge check
- Use case part one
- Hands-on lab: Building a Multi-Availability Zone VPC Architecture
Module 3: VPC Interconnectivity and Content Delivery
- VPC interconnectivity
- VPC peering
- VPC Transit Gateway
- VPC endpoints
- Edge locations
- AWS Global Accelerator
- Knowledge check
- Use case part two
- Hands-on lab: Accelerating Performance with Amazon CloudFront
Module 4: High Availability with Amazon Route 53
- Amazon Route 53
- Knowledge check
- Use case part three
- Hands-on lab: Achieving Fault Tolerance and Global Traffic Optimization
Module 5: Course Wrap-Up
- Course reflection
- Use case labs recap
- Use case conclusion
- Course feedback survey

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
The Course language is German, on request also in English.

Neue Termine in Planung!

AWS Migrations Essentials

Written by Gemma Corrado on 24. May 2023. Posted in AWS Training, Training.

Aws Advanced Training Partner
Aws Premium Consuting Partner

AWS Migrations Essentials

Please find our upcoming course dates at the end of this page!

Course description

This course is intended to provide solutions Architects with the foundational knowledge required to successfully plan and perform lift and shift migrations to the AWS Cloud. In this course you will learn about methodologies for discovering, planning, performing, and tracking migrations by using various AWS tools and services.

COURSE OBJECTIVES

In this course, you will learn to:

Determine cloud readiness and migration strategies using assessment tools and services provided by Amazon Web Services (AWS).
Articulate the key tasks involved in planning and mobilizing migrations.
Describe, at a high level, the Amazon Web Services (AWS) services, resources, and tools necessary for migrations of data and databases.
Describe, at a high level, the Amazon Web Services (AWS) services, resources, and tools necessary for migrations of applications.

INTENDED AUDIENCE

This course is intended for:

Technical audience (solutions architects, developers, and administrators) with limited to no knowledge on cloud migration.

PREREQUISITES

We recommend that attendees of this course have:

AWS Technical Essentials

ACTIVITIES

This course includes:

presentations
demonstrations
assessments
hands-on labs

COURSE DURATION / PRICE

1 day
€ 750,00 (excl. tax) per person (DE)

Course outline

Day 1

Module 0: Course Introduction
- Introductions
- Course overview
Module 1: Assess
- Migration phases
- Migration drivers and outcomes
- Cloud Adoption Readiness Tool (CART)
- Migration Readiness Assessment (MRA)
- Migration Evaluator
- Migration Portfolio Assessment (MPA)
Module 2: Mobilize
- Landing zones
- AWS Application Discovery Service
- Migration strategies
- AWS Migration Hub
Module 3: Migrate and Modernize: Database and Data Migration
- AWS Database Migration Service (AWS DMS)
- Data migration
- Lab 1: Database Migration with AWS DMS
Module 4: Migrate and Modernize: AWS Application Migration Service
- Migrate servers with AWS Application Migration Service (AWS MGN)
- Modernization phases
- AWS Well-Architected Framework for migration
- Application optimization
- Lab 2: Application Migration with AWS MGN
Module 5: Course Summary

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
The Course language is German, on request also in English.

Neue Termine in Planung!

One Day AWS Jam

Written by Gemma Corrado on 3. May 2023. Posted in AWS Training, Training.

Aws Advanced Training Partner
Aws Premium Consuting Partner

One Day AWS Jam

Please find our upcoming course dates at the end of this page!

Course description

Put your skills to the test by solving challenges in a fun way!

COURSE OBJECTIVES

Engage:

Work on mastering common AWS use cases and operational tasks to earn points.
Compete with rivals for the prestigious top spot on the leaderboard.

Learn, and improve your AWS skills:

Learn best practices from AWS experts, gain real-life experience, and solve scenarios that teach you AWS skills through independent discovery, learning, and hands-on building.

Validate:

Earn points for solving challenges using AWS-provided infrastructure according to proven best practices.
Compare your performance with your peers!

INTENDED AUDIENCE

Who should participate in the Jam?

A Jam is designed to challenge people of all technical skill levels. There will be some easy, medium, and difficult challenges in all different topics and technologies. For challenges that cover topics that are new or too difficult for the user, the Jam platform provides hints to help participants learn best practices.

COURSE DURATION / PRICE

1 day
€ 750.00 (excl. tax) per person (DE)

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
The Course language is German, on request also in English.