Generative AI, Programming,

Mastering Generative AI with OpenAI

Unlock the power of AI with our comprehensive course on OpenAI. From understanding the big picture to fine-tuning models, we guide you through every step, providing use-case-driven modules, hands-on labs, and insights into future developments

4.8How students rate KodeKloud 1000000+ Students

Taught by: Janakiram MSV, Technology Analyst, Advisor, Architect

Description

This is an end-to-end course on OpenAI covering all the aspects ranging from beginner to advanced scenarios.

It is based on a use-case-driven approach for developers to focus on modules that are aligned with their needs or a specific area. The demos and labs act as templates for the students to customize the code for their requirements easily.

At a high level, this course covers the following topics:

Big Picture of OpenAI: Understand the structure of OpenAI models, tokens, prompt engineering, available models, tools, libraries, services, free tier, and the pricing structure.

Models of OpenAI: Understand the large language models and image generators offered by OpenAI, along with the critical use cases and scenarios.

Prompt Engineering: Explain what prompt engineering is and define the best practices of providing prompts for the generative AI models. We will use ChatGPT and OpenAI Playground to explore prompt engineering

Text Completion: This section explores auto-completion of text based on the prompts. It introduces the key concepts of tokens and how to optimize the prompts for cost and accuracy.

Code Completion: Extending the concept of code completion, we will learn how OpenAI can generate code based on comments and prompts.

Q&A Generation: This section explores how OpenAI models can generate Q&A based on an input text.

Image Generation: Based on DALL-E 2, we will explore how to apply prompt engineering to generate images.

Building a Chatbot: Using the OpenAI Chat API, we will build a custom chatbot that can respond to various queries.

Content Moderation: In this section, we will explore how to identify hate speech by invoking the right API exposed by OpenAI

Speech to Text Conversion: Based on the Whisper model, we will generate text from an audio file.

Fine-tuning Models: In this section, we will provide a custom dataset to GPT3 to generate a new fine-tuned model capable of answering questions based on the custom dataset.

Roadmap: This section includes possible features expected from OpenAI, such as the plugins.

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What our students say

I'm not a security specialist, but I have realized that the course explains very well every topic and you can use the labs in every lesson to practice. It's a hard certification but using this course I could learn every element step by step and test myself if I was ready using the exam simulators, and I was great because the simulators are very close to a real exam! using this course I got the certification in my first attempt!

Thank you so much Mumshad Mannambeth for the awesome course, I couldn't find better than yours. These courses are well designed with awesome practice labs and have more than the required content to learn and pass the Kubernetes exams. Not sure how you are managing them with these much of low cost.

... Thank you Mumshad Mannambeth and the team for your contribution to computer education. If all training programs were like yours, there won't be a movement called #womanintech....

Thanks KodeKloud for amazing Kodekloud Engineer site ! You are guys the future of IT education ! Special thanks for Mumshad Mannambeth for the best Kubernetes training and amazing KodeKloud labs.

About the instructor

Janakiram MSV

Janakiram MSV — Technology analyst, advisor, architect, and a thought leader in the cloud computing and IoT space. He has experience working with companies like Microsoft, Amazon Web Services, and Bell Labs, and he has held various technical and management roles in these organizations. Janakiram is also a public speaker and a prolific writer, contributing to several technology publications. He is known for his expertise in cloud computing, particularly around platforms like AWS, Azure, and Google Cloud Platform, as well as his insights on emerging technologies such as Kubernetes, microservices, serverless computing, IoT, and edge computing.