When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Building Applications with Large Language Models
In this 2-day course, participants will learn how to build practical applications using large language models like ChatGPT. The course will cover the essentials of working with large language models,...
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$2,000 USD
Duration
2 days
Course Code
B-APPS-LLM
Available Formats
Classroom
Overview
In this 2-day course, participants will learn how to build practical applications using large language models like ChatGPT. The course will cover the essentials of working with large language models, including model selection, API integration, and prompt engineering. Participants will also explore techniques for optimizing AI-generated content, ensuring content safety, and addressing biases in AI-driven applications. Through hands-on exercises, case studies, and real-world examples, participants will gain practical experience in developing applications that harness the power of state-of-the-art AI technology. By the end of the course, participants will have the skills and knowledge required to create innovative and impactful AI-driven solutions using large language models like ChatGPT.
Skills Gained
- Understand the principles and applications of large language models like ChatGPT in building AI-driven applications
- Select and integrate large language models into Python applications using APIs
- Design and refine prompts for AI-generated content tailored to specific use cases
- Optimize AI-driven applications for performance, content safety, and fairness
- Develop practical, real-world applications using large language models like ChatGPT
Who Can Benefit
Python developers, software engineers, AI/ML engineers, and professionals interested in building applications using large language models like ChatGPT
Prerequisites
- Strong understanding of AI and machine learning concepts
- Proficiency in Python programming
- Familiarity with natural language processing (NLP) techniques and tools is recommended but not mandatory
Course Details
Throughout the course, participants will engage in hands-on exercises, case studies, and group discussions to reinforce learning and encourage collaboration among peers. The capstone project at the end of the course will provide an opportunity for participants to showcase their skills by developing a custom AI-driven application using a large language.
Day 1
Module 1: Introduction to Large Language Models and Python Integration
- Overview of large language models (e.g., GPT-3, ChatGPT)
- Principles of integrating large language models into Python applications
- Introduction to available APIs and libraries for working with large language models
Module 2: Model Selection and API Integration
- Criteria for selecting appropriate models and architectures for specific use cases
- Best practices for API integration and handling rate limits
- Hands-on exercise: Integrating ChatGPT or a similar large language model into a Python application
Module 3: Prompt Engineering for AI-Driven Applications
- Principles of prompt design for AI-generated content
- Techniques for creating and refining prompts for various use cases
- Hands-on exercise: Designing and refining prompts for a specific AI-driven application
Day 2
Module 4: Optimizing AI-Driven Applications for Performance and Safety
- Techniques for improving AI-generated content quality, relevance, and novelty
- Ensuring content safety and adherence to ethical guidelines
- Hands-on exercise: Optimizing an AI-driven application for performance and safety
Module 5: Addressing Biases and Fairness in AI-Driven Applications
- Identifying and mitigating biases in AI-generated content
- Best practices for promoting fairness and inclusivity in AI-driven applications
- Hands-on exercise: Evaluating and improving an AI-driven application for fairness
Module 6: Capstone Project
- Participants will apply the concepts and techniques learned throughout the course to build a custom AI-driven application using a large language model like ChatGPT
- Presentation and discussion of capstone projects
Schedule
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.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
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 class and packed with material, would have lived to spread it more into many days but overall very informative.
Great instructor, clear and concise course. Labs were easy to follow and worked perfectly.
The instructor was thorough and they also provided hands-on demonstrations with labs.
The training was very good to understand the concepts and how to set up things .
The class and material is good. I think some of the software needs to be updated.
