Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding AI, its impact and transformative potential for your organization and our society is of paramount importance.

This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks.

Furthermore, it will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. You will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios.

By the end of this specialization, learners will have had hands-on interactions with several AI environments and applications, and have built and deployed an AI enabled chatbot on a website – without any coding.

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. 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. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Furthermore, you’ll examine AI’s application across domains such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases.

This course explores AI's transformative impact, including generative AI, on businesses. It also explains how AI can revolutionize your work and environment and what career opportunities it offers. 

Finally, the course explores AI ethics and governance, prevalent concerns and issues surrounding the AI landscape.

The course includes hands-on labs and a project, providing an opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI.  

This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI.

Introduction to Artificial Intelligence (AI)

This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives.   

This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs).   

In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia.    

Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.

Generative AI: Introduction and Applications

This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT. 

Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. 

You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses. 

You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust.  

The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.

Generative AI: Prompt Engineering Basics

In today’s fast-paced business environment, seamless operations and maximum productivity are essential. AI-powered chatbots are now a cornerstone for managing routine customer queries efficiently, freeing human teams to focus on strategic, high-level tasks. 

This course is designed to equip you with the skills and techniques to create AI-powered chatbots, even if you have no programming skills. 

Whether you’re a student, a professional, or an expert looking to make your mark in the field, this course has something for you. 

You’ll start by exploring what chatbots are and their benefits in the digital landscape. You’ll learn about action workflows and the key features of the chatbot you will build during the course. 

The course also delves into the high-level differences between decision-tree chatbots and generative AI chatbots. 

You’ll be introduced to the concept of actions within chatbots and learn to build them using IBM watsonx Assistant. 

Hands-on experience is a key part of this course. Through interactive labs, instructional videos, and quizzes, you’ll apply what you’ve learned to real-world scenarios, such as creating a customer care chatbot for a fictitious flower shop.  

By the end of the course, you’ll be well on your way to building and deploying your own AI-powered chatbots.

AI Foundations for Everyone

About the Program

Description

Deliverables

0 Credits

Academic Excellence

Prompt Engineering for Law Specialization$300

Generative AI for Human Resources (HR) Professionals$300

AI for Scientific Research$300

Deep Learning for Healthcare$300

Prompt Engineering for Educators$300