Skills you'll gain: ChatGPT, OpenAI, Generative AI, Education and Training, Artificial Intelligence, Teaching, Instructional and Curriculum Design, Artificial Intelligence and Machine Learning (AI/ML)

Dec 20, 2024 · Learn foundational AI concepts, familiarize yourself with AI services, and gain hands-on experience with several AI environments and applications. For a comprehensive introduction to generative AI, consider taking Google Cloud's Introduction to Generative AI Learning Path Specialization .

This IBM AI Developer Professional Certificate will equip you with sought-after expertize in building AI-powered chatbots and apps and enable you to launch your AI career in just 6 months. No prior AI or programming experience required.

Enroll in this course to understand the key AI terminology and applications and launch your AI career or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks.

In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects ...

Understand what is AI, its applications & use cases, and its impact on society. Explain terms like Machine Learning, Deep Learning and Neural Networks. Identify various Watson AI services from IBM and what they can be used for. Narrate several applications and real life case studies involving Watson

Skills you'll gain: ChatGPT, OpenAI, Generative AI, Education and Training, Artificial Intelligence, Teaching, Instructional and Curriculum Design, Artificial Intelligence and Machine Learning (AI/ML)

This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer.

Learn the fundamentals of how generative AI works, a how to deploy it in real-world applications. You’ll understand the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment

Through videos, readings, and interactive exercises, you’ll learn how to use generative AI tools, create effective prompts, use AI responsibly, and select the right AI tools for your work needs. This self-paced course is accessible to everyone and is designed to fit into busy schedules.