Artificial Intelligence
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IBM: Back-end Application Development with Node.js and Express
In a recent Stack Overflow survey, Node.js was used by about 50% of the developers who answered the survey, making it the most used server-side technology. Express ranked as the fourth most popular web technology overall, making it the most popular server-side web framework.
IBM: Cloud Application Developer Capstone
In this project you will sharpen your new full stack cloud application development skills. You will use modern tools and technologies to create a working cloud ecosystem. You will design and develop a comprehensive solution that reflects your mastery of key cloud native computing concepts and capabilities.
IBM: Computer Vision and Image Processing Fundamentals.
Learn about computer vision, one of the most exciting fields in machine learning. artificial intelligence and computer science.
IBM: Cybersecurity Compliance and Framework
This course focuses on cybersecurity principles, industry standards, regulations, and audit processes. It details the fundamental concepts of information security and compliance, covering governance, risk, cybersecurity frameworks, and process management.
IBM: Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
IBM: Elevating Businesses and Careers with Generative AI
In this course, you will discover the transformative impact of generative AI on existing businesses and opportunities for new businesses. Further, you will explore the career opportunities in generative AI and enhancements to your career prospects.
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.