Generative AI Engineering


Course Number: AI-106
Duration: 5 days (32.5 hours)
Format: Live, hands-on

Generative AI Training Overview

This Generative AI Engineering training course teaches attendees how to integrate LLMs (Large Language Models) into their AI applications. In addition, participants learn how to ensure their applications are secure and private.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, we offer some courses as live, instructor-led online classes for individuals.

Objectives

  • Understand the importance and benefits of LLMs in software engineering and data engineering
  • Identify suitable tools for LLM integration
  • Apply techniques for fine-tuning
  • Enhance chatbot performance with LLMs
  • Ensure security and privacy
  • Discuss ethical considerations

Prerequisites

All students must have extensive Python development experience and understand Core Data and Cloud concepts.

Outline

Expand All | Collapse All

Introduction
  • Definition of LLMs (Large Language Models)
  • Importance of LLMs in software engineering and data engineering
  • Overview of the application of LLMs in software tools, data pipelines, and chatbots
Fine-tuning LLMs for Software and Data Engineering Tasks
  • Understanding the training process
    • Pretraining
    • Fine-tuning
  • Selecting appropriate datasets
    • Domain-specific data (software engineering, data engineering)
    • Data quality and diversity
  • Techniques for fine-tuning
    • Transfer learning
    • Adaptive learning rates
    • Regularization techniques
  • Evaluating model performance
    • Metrics for evaluation
    • Identifying overfitting and underfitting
Integration of LLMs into Existing Software and Data Engineering Tools
  • Identifying suitable tools for LLM integration
    • Integrated development environments (IDEs)
    • Data processing and analysis tools
    • Workflow automation platforms
  • Adapting LLMs to specific tasks
    • Task-specific fine-tuning
    • Interface design
  • Ensuring seamless interaction
    • API integration
    • Data flow management
Integrating LLMs into Chatbot Applications for Software and Data Engineering Use Cases
  • Chatbot architectures
    • Retrieval-based chatbots
    • Generative chatbots
  • Enhancing chatbot performance with LLMs
    • Natural language understanding
    • Natural language generation
    • Context-aware conversation handling
  • Personalization and customization
    • User profiling
    • Adaptation to user preferences
  • Ensuring security and privacy
    • Data protection
    • Anonymization techniques
Case Studies and Real-World Applications in Software and Data Engineering
  • Examples of LLM integration in existing tools
  • Successful chatbot applications using LLMs in software and data engineering contexts
  • Lessons learned from practical applications
Future Perspectives and Challenges for Software and Data Engineers
  • The evolving landscape of LLMs
  • Ethical considerations
  • Potential limitations and mitigation strategies
Conclusion
  • Recap of the importance and benefits of LLMs in software engineering and data engineering
  • The future of LLMs in software tools, data pipelines, and chatbot applications

Training Materials

All Generative AI training students receive comprehensive courseware.

Software Requirements

All attendees must have a modern web browser and an Internet connection.



Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



Recent Training Locations

Alabama

Birmingham

Huntsville

Montgomery

Alaska

Anchorage

Arizona

Phoenix

Tucson

Arkansas

Fayetteville

Little Rock

California

Los Angeles

Oakland

Orange County

Sacramento

San Diego

San Francisco

San Jose

Colorado

Boulder

Colorado Springs

Denver

Connecticut

Hartford

DC

Washington

Florida

Fort Lauderdale

Jacksonville

Miami

Orlando

Tampa

Georgia

Atlanta

Augusta

Savannah

Hawaii

Honolulu

Idaho

Boise

Illinois

Chicago

Indiana

Indianapolis

Iowa

Cedar Rapids

Des Moines

Kansas

Wichita

Kentucky

Lexington

Louisville

Louisiana

New Orleans

Maine

Portland

Maryland

Annapolis

Baltimore

Frederick

Hagerstown

Massachusetts

Boston

Cambridge

Springfield

Michigan

Ann Arbor

Detroit

Grand Rapids

Minnesota

Minneapolis

Saint Paul

Mississippi

Jackson

Missouri

Kansas City

St. Louis

Nebraska

Lincoln

Omaha

Nevada

Las Vegas

Reno

New Jersey

Princeton

New Mexico

Albuquerque

New York

Albany

Buffalo

New York City

White Plains

North Carolina

Charlotte

Durham

Raleigh

Ohio

Akron

Canton

Cincinnati

Cleveland

Columbus

Dayton

Oklahoma

Oklahoma City

Tulsa

Oregon

Portland

Pennsylvania

Philadelphia

Pittsburgh

Rhode Island

Providence

South Carolina

Charleston

Columbia

Greenville

Tennessee

Knoxville

Memphis

Nashville

Texas

Austin

Dallas

El Paso

Houston

San Antonio

Utah

Salt Lake City

Virginia

Alexandria

Arlington

Norfolk

Richmond

Washington

Seattle

Tacoma

West Virginia

Charleston

Wisconsin

Madison

Milwaukee

Alberta

Calgary

Edmonton

British Columbia

Vancouver

Manitoba

Winnipeg

Nova Scotia

Halifax

Ontario

Ottawa

Toronto

Quebec

Montreal

Puerto Rico

San Juan