IBM plays a crucial role in advancing ai by developing cutting-edge technologies and offering comprehensive courses. Through its ai initiatives, IBM enables students to harness the potential of ai in various fields. Its courses provide practical skills and knowledge, enabling individuals to implement ai solutions effectively and drive innovation in their respective domains. This article lists the best ai courses offered by IBM, allowing students to delve deeper into specialized areas and stay at the forefront of ai advancements.
IBM's introduction to machine learning specialization
This course offers essential skills for a career in machine learning and data science. You will learn to apply algorithms, evaluate models, and incorporate best practices, culminating in 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 using IBM Cloud Pak for data. Focuses on using IBM tools to address business challenges, covering model creation, deployment, GitHub integration, and governance.
<h3 class="wp-block-heading" id="h-generative-ai-fundamentals-specialization”>Specialization in generative ai fundamentals
This specialization covers generative ai concepts, models, tools, and applications through self-paced courses. Includes hands-on labs with text, image, and code generation, using tools such as ChatGPT, Stable Diffusion, and IBM Watsonx.ai.
Managing ModelOps with IBM Cloud Pak for Data V4.8
This course covers Cloud Pak for Data, focusing on its services and integrations to improve organizational collaboration. You'll learn how to use IBM Knowledge Catalog, Watson Query, and Watson Studio, explore industry accelerators, and build a predictive model within a Data Fabric solution.
Introduction to intelligent virtual agents with IBM Watson Assistant
This course introduces Watson Assistant and focuses on actions built with steps. Helps distinguish between chatbots, ChatGPT, and intelligent virtual agents, explaining their uses and the unique capabilities of Watson Assistant for non-technical users.
Creating advanced intelligent virtual agents in IBM Watsonx Assistant
The Watsonx Assistant course teaches how to create instances that handle multiple user tasks across channels like web chat, phone, and third-party apps, offering generative ai interactions. Covers creating user personas, orchestrating complex tasks with actions and sub-actions, and using debugging tools for optimization.
<h3 class="wp-block-heading" id="h-generative-ai-for-data-scientists-specialization”>ai-for-data-scientists” target=”_blank” rel=”noreferrer noopener”>Specialization in Generative ai for Data Scientists
This course equips data professionals with essential skills, covering basic concepts, rapid engineering, and practical applications in data science. It includes hands-on projects such as generating text, images, and code, as well as creating prediction models, preparing you to leverage generative ai in your career.
<h3 class="wp-block-heading" id="h-generative-ai-for-software-developers-specialization”>ai-for-software-developers” target=”_blank” rel=”noreferrer noopener”>Specialization in generative ai for software developers
This specialization teaches software developers how to use generative ai to write high-quality code, covering the generation of text, code, images, audio and video. Includes self-paced courses on generative ai basics, rapid engineering, and hands-on projects with tools like GitHub Co-pilot and ChatGPT to increase programming productivity and efficiency.
Advanced intelligent document processing with IBM Watson Discovery
This course teaches ai specialists with intermediate NLP skills to improve document processing. It covers creating regular expressions, customizing queries, web crawling, and using intelligent document understanding models, with the goal of improving the relevance and accuracy of search results.
Master document retrieval with the IBM Watson Discovery API
This course teaches how to use the Watson Discovery API to create advanced document retrieval systems. It covers techniques such as regular expressions, Discovery Query Language, text classification, relevance training, and modifying results. Ultimately, students will be trained to create efficient search applications and extract information from unstructured data.
Shobha is a data analyst with a proven track record in developing innovative machine learning solutions that drive business value.
