Building AI Products with OpenAI
The recent emergence of Large Language Models (LLMs) such as ChatGPT and their ability to operate as open-ended generative systems capable of multiple tasks like question-answering, programming, image generation etc. has led some to the conclusion that “The hottest new programming language is English”. One can interact with these models through simple English phrases (also called prompts) that can be designed to achieve several use-cases such as copywriting, code generation, search and so much more! Designing the right prompts involves multiple iterations to achieve the desired output. In this course, we will build Generative AI products such as an auto-generated podcast. In the process, we will learn simple techniques and use tools to understand prompt design. The course also covers a basic understanding of how these models are trained and how they generate responses.
Course taught by expert instructors
Sidharth Ramachandran
Senior Director, Knowledge Engineering
Sidharth is a Senior Director at one of the largest media companies in Europe where he is responsible for building data products for their streaming platform. He is also the co-author of “Blueprints for Text Analytics”, a technical book on NLP techniques published by O’Reilly. He has degrees in Engineering & Management and previously also built his own text automation startup that was featured on Techcrunch.
The course
Learn and apply skills with real-world projects.
Technology professionals who will learn the details of generative AI models and build products that use some of these models to solve interesting use-cases
Content Creators who will learn how to leverage generative AI technologies to augment and enrich their workflow OR experiment with new formats or mediums
Executives at Media and Advertising companies who can learn how generative AI technologies can impact content production, formats, and engagement
Basic level of familiarity with Python programming (variables, functions, loops, lists) and ability to work in a notebook environment (e.g. Jupyter, Google Colab)
Ability to read and understand how to work with documented libraries (e.g. HuggingFace Transformers, publicly available APIs)
A curious mind and creative mindset.
Try these prep courses first
- Learn
- Introduction to neural networks & the transformer architecture
- Strategies used for training LLMs & how it impacts prompts
- How does an LLM generate text & what can we learn from it
- Approach to designing prompts
Project- Let's build "Narrative Tales" - a product that allows you to generate your own Podcast!
- Choose a book, topic, or paper of your choice & create a text corpus
- Select & summarize key themes & generate the podcast conversation
- Generate dialog voices and create your own personalized podcast!
- Learn
- Introduction to neural networks for computer vision
- Understanding the training process of diffusion models & observing the impact of prompt design
- Introduction to additional options like image-to-image, inpainting, ControlNet etc.
Project- Let's build "PodPicasso" - a product that designs beautiful cover art for your generated podcast
- Identify ways to understand and summarize what happens in the episode to design the right image-generation prompt
- Understand ways to design the prompt using image interrogation, special keywords etc.
- Learn
- Understanding common challenges when building AI products
- Introducing Langchain - a framework that provides multiple design patterns to work with LLMs
- Wrapping up & next steps
Project- Let's build "DocuMint" - a product that generates documentation for any code function or snippet.
- Adding validation checks (guardrails) to ensure the product behaves as expected.
- Building evals to confirm accuracy and performance of our product.
A course you'll actually complete. AI-powered learning that drives results.
AI-powered learning
Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.
Live courses by leading experts
Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.
Practice on the cutting edge
Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.
Flexible schedule for busy professionals
We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.
Completion certificates
Each course comes with a certificate for learners to add to their resume.
Best-in-class outcomes
15-20x engagement compared to async courses
Support & accountability
You are never alone, we provide support throughout the course.
Get reimbursed by your company
More than half of learners get their Courses and Memberships reimbursed by their company.
Hundreds of companies have dedicated L&D and education budgets that have covered the costs.
Course success stories
Learn together and share experiences with other industry professionals
Sidharth is a wonderful educator. His instruction style is clear and concise. He is fluent in online delivery tools such as Miro etc and it was a joy to hear his experience working on building AI apps using LLMs and the ecosystem of products in that space. Highlight recommend to ramp up from 0to1 on the prompt design space.
