Prompt engineering unlocks ChatGPT’s potential for data analysis. This course will teach you how to create prompts to improve your data analysis productivity.

This course will teach you the fundamentals of using OpenAI’s ChatGPT and prompt engineering to generate code snippets that will make you a more productive developer.

Learn all about the incredible image generation abilities of DALL-E! This course will teach you everything you need to know to get started making all sorts of amazing images with DALL-E.

IT operations professionals can benefit greatly from generative AI in general and OpenAI ChatGPT in particular. This course teaches you how to craft ChatGPT prompts for maximum accuracy and efficiency.

Bridge the gap between the advanced capabilities of large language models and real-world business solutions. This course will teach you how to adapt large language models to achieve specific business objectives in an efficient and effective manner.

Machine learning models are of critical business importance, and hyperparameters allow us to converge on more accurate models faster. This course will teach you how to understand and optimize hyperparameters by tuning them.

Optimize business processes using IBM Granite 3.0 and Explainable AI. Learn to make AI decisions more transparent and improve business decision-making with advanced AI tools.

Leverage generative AI tools to optimize code readability, maintainability, testability, and resource efficiency, fostering streamlined development.

Boost productivity with Copilot for Microsoft 365. Learn AI chat management, outlook email summarization, and extracting insights from OneNote and Excel.

Learn to optimize neural networks for efficiency and performance. This course will teach you how to reduce model size and improve performance using the right techniques.

Use generative AI for pair programming by teaming up with an AI system to generate Python code in the driver-navigator style of pair programming

Master Parameter Efficient Fine-Tuning (PEFT) techniques with PyTorch. Learn how to apply adapters for efficient model tuning, optimizing performance without retraining from scratch.