When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Boosting Developer Productivity with AI
In this Boosting Developer Productivity with AI course, participants learn how to use artificial intelligence (AI) to improve their efficiency, creativity, and problem-solving across diverse domains....
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$1,525 USD
Duration
2 days
Course Code
WA3417
Available Formats
Classroom, Virtual
Overview
In this Boosting Developer Productivity with AI course, participants learn how to use artificial intelligence (AI) to improve their efficiency, creativity, and problem-solving across diverse domains.
Skills Gained
- Understand LLMs' fundamental concepts and principles
- Gain insights into the diverse applications of LLMs across various domains, including natural language processing, creative text generation, and code development
- Enhance productivity and problem-solving with AI
- Develop proficiency using popular LLM platforms and tools like OpenAI's ChatGPT and GitHub Copilot
- Explore ethical considerations and potential risks associated with LLM usage
- Apply LLM-powered techniques to practical scenarios
Who Can Benefit
- Audience
- Software developers
- IT architects
- Technical managers
Prerequisites
Students should have an IT background or be interested in generative AI-driven programming.
Course Details
Outline
Chapter 1 - Introduction to Large Language Models
- What is Generative AI?
- A Bit of History ...
- ... and Then ...
- RNNs
- Problems with RNNs
- Transformers
- Encoders and Decoders
- Generative AI and LLMs
- Training the Model to Predict the Next Word Visually
- The LLMs Landscape
- The Evolutionary Tree of LLMs
- The Microsoft 365 Copilot Ecosystem
- The LLM Capabilities vs LLM Size (in Parameters)
- Does the Model Size Matter?
- Inference Accuracy vs LLM Size
- Open AI GPT Models
- Llama
- The LLaMA Family of LLMs
- LLaMA 2
- The AI-Powered Chatbots
- How Can I Access LLMs?
- Options for Accessing LLMs
- Cloud Hosting
- Opinions about LLMs
- Multimodality of LLMs
- Infographic of Multimodality Tasks
- Example of an LLM Explaining a Joke
- Example of Cause & Effect Reasoning
- Inferring Movie from Emoji
- Prompt Engineering
- The Right People, with the Right Skills, for the Right Time ...
- Context Window and Prompts
- Zero- and Few-Shot Prompting
- The Training Datasets
- The RedPajama Project (OSS LLaMA Dataset)
- AI Alignment
- Reinforcement Learning with Human Feedback (RLHF)
- Problems with RLHF
- Ethical AI
- Summary
Chapter 2 - LLMs, a Technologist's Perspective
- LLM Operational Aspects
- Understanding Model Sizes
- Physical Model Sizes
- The Training and Inference Costs
- The Model Training Phase's Carbon Footprint
- Quantization
- Model Formats
- LLM Accuracy Benchmarks
- Open and Closed Book Benchmarks
- The Perplexity Performance Metric
- Embeddings
- Where are Embeddings Used?
- The Vector Databases
- LLM Concerns
- Ways to Interface with Local LLMs
- Using a Supported Programming API (Binding)
- UI Options
- Customization Options for LLMs
- Customization Options: Top-p and Top-k
- Customization Options: Temperature and Repetition Penalty
- Customization Option: The Turn Template
- Configuration Presets
- Summary
Chapter 3 - Introduction to ChatGPT
- A Stylized OpenAI ChatGPT Logo
- OpenAI GPT Models
- OpenAI Models
- ChatGPT 4.0
- ChatGPT Prompts
- ChatGPT Prompts Strategies, Tactics, and Best Practices
- Prompt Engineering: Dealing with ChatGPT's Hallucination Syndrome
- Prompt Engineering: Break Down the Complex Tasks into Smaller Ones
- Prompt Engineering: Examples of Prompts
- OpenAI API
- GPT Embeddings
- Embedding Models' Risks and Limitations
- OK. How Can I Get My OpenAI Embedding
- Tokens, Take 1
- Tokens, Take 2
- The Tokenizer UI
- Prompts, Embeddings, and Tokens
- Summary
Chapter 4 - AI-Powered Developer Productivity
- Generative AI and LLMs for Developers
- How to Become a Technologies and Philosopher All in One
- Gartner on AI-augmented Development Tools
- Developer-AI Pair Programming Paradigm
- The Tooling
- Some Facts ...
- Code Generation: SQL Example
- Code Generation: Using ThreadLocal Storage in Java
- Code Generation: Thread-safe Singleton Design Pattern in C#
- Code Generation: Bash Scripting
- Code-to-Code Translation
- Code Llama
- Fine-Tuning Llama 2 Workflows
- GitHub Copilot
- Can I Trust AI-Generated Code?
- The Safeguards
- The General Recommendations ...
- Summary
Chapter 5 - Introduction to GitHub Copilot
- What is GitHub Copilot?
- Copilot Chat
- IDE and REPL Integrations
- Will Copilot Replace Developers?
- Can I Trust Code Generated by GitHub Copilot Code?
- GitHub Copilot's Modus Operandi
- The Life of a Code Completion: The Big Picture
- Code Suggestions are Not Copy & Paste from Other Peoples' Code
- The Shebang Prologue Hint
- Getting Started with GitHub Copilot
- GitHub Copilot Plans
- Copilot for Individuals
- Copilot for Businesses
- GitHub Copilot Security
- Responsible Copilot
- Summary
Lab Exercises
- Lab 1. Learning the Colab Jupyter Notebook Environment
- Lab 2. Hello, AI!
- Lab 3. OpenAI Platform Overview
- Lab 4. Using OpenAI API
- Lab 5. Understanding Embeddings
- Lab 6. OpenAI API Project
- Lab 7. Copilot Environment Setup
- Lab 8. Hello, Copilot!
Schedule
2 options available
-
May 12, 2025 - May 13, 2025 (2 days)
Virtual | 10:00 AM – 6:00 PM EST Language English Select from 1 options below Virtual |10:00 AM – 6:00 PM EST- Enroll
- Enroll Add to quote
-
Jun 30, 2025 - Jul 1, 2025 (2 days)
Virtual | 10:00 AM – 6:00 PM EST Language English Select from 1 options below Virtual |10:00 AM – 6:00 PM 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.
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
Very good company. I've done technical trainings at their facility in downtown Montreal in the past and I'Ve always appreciated them.
vary good online learning. instructor is vary good the way he explained every thing.
the class/lecture was amazing and very easy to understand and was in detail.
Very good couse and again we would like to see more videos on removing FRUs
The tool provided to practice the course teachings is very functional and easy to use.
