IBM plays a key role in advancing AI by developing cutting-edge technologies and offering comprehensive courses. Through its AI initiatives, IBM is helping learners harness the potential of AI across sectors. IBM courses provide practical skills and knowledge to enable individuals to effectively implement AI solutions and drive innovation in their fields. This article highlights the top AI courses offered by IBM that enable learners to delve deep into their areas of expertise and stay at the forefront of AI advancements.
IBM Introduction to Machine Learning Specialization
In this course, you will gain essential skills for a career in machine learning and data science: you will learn how to apply algorithms, evaluate models, incorporate best practices, and culminate in creating a portfolio of projects.
Build, test, and deploy machine learning models with IBM Cloud Pak for Data V4.8
This course teaches data scientists and business analysts how to build, test and deploy machine learning models with IBM Cloud Pak for Data. It focuses on using IBM tools to address business challenges and covers model creation, deployment, GitHub integration and governance.
Generative AI Basic Specialization Course
In this specialization, you’ll learn about generative AI concepts, models, tools, and applications through self-paced courses that include hands-on labs to generate text, images, and code using tools like ChatGPT, Stable Diffusion, and IBM Watsonx.ai.
Managing ModelOps with IBM Cloud Pak for Data V4.8
This course introduces you to Cloud Pak for Data and highlights services and integrations to enhance organizational collaboration. You will learn how to use IBM Knowledge Catalog, Watson Query, and Watson Studio, explore industry accelerators, and build predictive models within the Data Fabric solution.
Introducing an intelligent virtual agent with IBM Watson Assistant
This course introduces Watson Assistant with a focus on Actions built in steps. It differentiates between chatbots, ChatGPTs, and intelligent virtual agents, explaining their uses and the unique capabilities of Watson Assistant for non-technical users.
Build a highly intelligent virtual agent with IBM Watson Assistant
In the Watsonx Assistant course, you will learn how to create an instance that handles multiple user tasks and provides generative AI interactions over channels such as web chat, phone, and third-party applications. You will learn to create user personas, orchestrate complex tasks with actions and sub-actions, and utilize debugging tools for optimization.
Generative AI Specialization for Data Scientists
This course covers data science fundamentals, rapid engineering, and practical applications to equip data professionals with the skills they need. It includes hands-on projects like generating text, images, and code, and building predictive models, preparing you for a career with generative AI.
Generative AI for Software Developers Specialization
This specialization teaches software developers how to use generative AI to write high-quality code, covering text, code, image, audio, and video generation. It includes self-paced courses on the fundamentals of generative AI, prompt engineering, and hands-on projects with tools like GitHub Co-pilot and ChatGPT to make programming more productive and effective.
Advanced intelligent document processing with IBM Watson Discovery
This course teaches AI specialists with intermediate NLP skills to enhance document processing by creating regular expressions, customizing queries, web crawling, and using Smart Document Understanding models to improve the relevance and accuracy of search results.
Mastering document search with the IBM Watson Discovery API
In this course, learners will learn how to build advanced document search systems using the Watson Discovery API, covering techniques such as regular expressions, Discovery Query Language, text classification, relevance training, and result modification. By the end of the course, learners will have the skills to create efficient search applications and extract insights from unstructured data.
Shobha is a data analyst with a proven track record in developing innovative machine learning solutions that drive business value.