Artificial Intelligence
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IBM: Guided Project: Get Started with IBM Db2 on Cloud
Develop fundamental database skills, including table creation, loading data, and writing queries using IBM Db2 on Cloud. Explore Db2 on Cloud scalability, availability, and ease-of-use and gain job-ready skills with this hour-long, hands-on guided project.
IBM: IBM Cloud Essentials
This course introduces you to the IBM Cloud. You will learn about the many offerings and services on IBM Cloud that make it the most open and secure public cloud for developers and enterprises.
IBM: Impact, Ethics, and Issues with Generative AI
In this course, you will learn about the socioeconomic impacts of generative AI and related issues such as job and copyright implications. You will also explore the ethical concerns related to generative AI and examine how to use it responsibly.
IBM: Introduction to Cloud Native, DevOps, Agile, and NoSQL
Learn to develop cloud-native applications from scratch in this comprehensive course. Covering key cloud concepts, tools, and techniques, you'll also explore DevOps culture, CI/CD practices, and MongoDB principles.
IBM: Introduction to Generative AI
In this course, you will learn about the fundamentals of generative AI. You will explore the capabilities and applications of generative AI across different domains. You will explore the capabilities and features of common generative AI models and tools.
IBM: Introduction to Prompt Engineering
In this course, you will learn about prompt engineering to unlock the full potential of generative AI tools like ChatGPT. You will learn the techniques and best practices for writing effective prompts and explore a few common prompt engineering tools.
IBM: Introduction to Watson AI
Learn how to quickly and easily get started with Artificial Intelligence using IBM Watson.
IBM: Models and Platforms for Generative AI
This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained models and platforms for AI application development.
IBM: Smarter Chatbots with Node-RED and Watson AI
Learn how to use Node-RED to augment the capabilities of your Watson Assistant chatbots by integrating services such as Watson Translate and Text to Speech. You'll also practice deployment of chatbots to Facebook Messenger.
IBM: Using GPUs to Scale and Speed-up Deep Learning
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
Identifying Opportunities for Generative AI in Your Organization
This course will teach you how to identify, evaluate, and implement generative AI opportunities within your company to achieve strategic business goals.
Image classification using Azure Sphere
Implement a neural network model for performing real-time image classification on a secured, internet-connected microcontroller-based device (Azure Sphere). Describe the components and steps for implementing a pre-trained image classification model on Azure Sphere.