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Building Generative AI Applications

Teach developers the essential skills needed to add Generative AI (GenAI) features into their applications, including chatbots, content generation, and predictive analysis. This Generative AI course...

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$3,000 USD
Duration 3 days
Course Code GAI-1101
Available Formats Classroom, Virtual

Overview

Teach developers the essential skills needed to add Generative AI (GenAI) features into their applications, including chatbots, content generation, and predictive analysis. This Generative AI course teaches learners how to build, deploy, and scale GenAI applications. Hands-on labs address practical challenges and solutions, offering a solid foundation in this evolving field.

Skills Gained

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

  • Enhance customer interactions with generative AI
  • Automate tasks with LLM-based applications
  • Streamline workflows using LangChain
  • Improve performance with generative AI evaluation metrics
  • Support business growth with GenAI deployment and scaling strategies

Who Can Benefit

  • Software Developers
  • Data Scientists & Analysts

Prerequisites

  • Familiarity using Generative AI
  • Practical Python experience

Course Details

Software Requirements

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

Understanding Generative AI

  • Defining Intelligence, Artificial Intelligence, and Generative AI
  • Differentiating Generative AI from Traditional AI
  • How Generative AI Works
  • Tokenization (An entry point to Generative AI)
  • Benefits and Challenges of Generative AI
  • Popular GenAI Models and Frameworks
  • LLM Settings and Parameters
  • Prompt Engineering, RAG, Agentic AI, and other advanced concepts

Basics of Prompt Engineering

  • Why prompt engineering?
  • Techniques for Effective Direct Prompting (Zero-shot)
  • Prompting with Examples (One-shot, Few-shot)
  • Chain-of-Thought, Tree-of-Thoughts
  • Evaluating and Refining Prompts
  • Common Mistakes in Prompt Engineering

Building Simple LLM-Based Applications

  • Application Design Building Blocks
  • Accessing LLMs via APIs
  • Prompt Templates
  • Conversational Model of Completion
  • Closed-Weight vs. Open-Weight Models
  • Batch APIs for Cost Control

Accelerating Development with LangChain

  • What is LangChain?
  • LangChain Terminology and Conceptual overview
  • LLM Chains and Prompt Templates
  • Structured Output
  • Retrieval Augmented Generation (RAG)
  • Loaders, Splitters, and Parsers
  • Structure Output and Function Calling

Basics of Evaluating Generative AI Applications

  • Generative AI Evaluation vs. Software Evaluation
  • Metrics for Evaluating Generative AI
  • Interpreting Evaluation Results
  • Advanced Metrics and Techniques for Generative AI
  • Custom Evaluation Metrics

Deploying and Scaling Generative AI Applications

  • Unique Challenges in Deploying and Scaling Generative AI Applications
  • Managing Latency and Throughput
  • Ensuring Data Privacy and Security
  • Cloud vs. On-Premise Deployment Trade-offs
  • Implementing Continuous Deployment Pipelines for GenAI
  • Monitoring and Auto-Scaling GenAI Applications

Basics of Generative AI Monitoring

  • Differences Between Evaluation and Monitoring
  • Identifying Key Monitoring Metrics
  • Understanding the Monitoring Workflow
  • Alerts, Logs, and Monitoring Verification
  • Setting Up a Monitoring System

Debugging and Testing Generative AI Applications

  • Debugging Generative AI Applications
  • Testing Generative AI Applications
  • Debugging and Testing Tools
  • Debugging and Testing Strategies
  • Continuous Integration and Deployment

Basics of Agentic AI with LangGraph

  • LangGraph Concepts and Principles
  • Common Agentic Patterns
  • Multi-Agent Workflows
  • Agent Communication and Coordination
  • Error Handling in Agentic Systems
  • Scaling Agentic AI Applications

Generative AI Use Cases and Ethics

  • Real-world Applications of Generative AI
  • Ethical Considerations in Generative AI
  • Responsible Use of Generative AI
  • Case Studies and Examples
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Schedule

3 options available

  • Jul 22, 2025 - Jul 24, 2025 (3 days)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
    Enroll
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  • Sep 16, 2025 - Sep 18, 2025 (3 days)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
    Enroll
    Enroll Add to quote
  • Nov 17, 2025 - Nov 19, 2025 (3 days)
    Live Virtual | 9:00AM 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EST
    Live Virtual | 9:00AM 5:00PM EST
    Enroll
    Enroll Add to quote

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

Great training it covered the most importan topics if GitHub copilot with good explanation and good labs.

Some Labs are very good but some steps it ask to update but its already updated, but overall its very good training.

The labs and course material gave me valuable insights into cloud security architecture

Exit certified was great as it is very in depth and hands on learning which made it very easy to learn this type of work.

ExitCertified provided a very organized way to learn and provided materials to follow along.