IBM is paving the way for AI advancements through their development of groundbreaking technologies, as well as a broad offer of extensive courses. Their AI-focused initiatives provide learners with the tools to utilize AI throughout a myriad of fields. IBM’s courses furnish practical skills and knowledge that allow learners to effectively implement AI solutions and spark innovation within their respective spheres.
IBM offers a wide array of AI courses that cater to a variety of skill levels and specializations. These courses enable learners to immerse themselves in specialized areas and stay ahead in the AI innovation curve. Here is a review of some top courses:
“Introduction to Machine Learning Specialization” is a course that offers learners key skills required for a career in machine learning and data science. Participants will be taught how to apply algorithms, assess models, and incorporate the best practices. The course culminates in the creation of a portfolio of projects.
“Creating, Testing, and Deploying Machine Learning Models with IBM Cloud Pak for Data V4.8” is aimed towards data scientists and business analysts. The course provides instructions on how to construct, test, and deploy machine learning models through IBM Cloud Pak. The curriculum covers model creation, deployment, GitHub integration, and governance.
“Generative AI Fundamentals Specialization” course covers generative AI concepts, models, tools, and applications, including 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” teaches students how to use IBM Knowledge Catalog, Watson Query, and Watson Studio. It focuses on the services and integrations of Cloud Pak for Data to boost organizational collaboration and teaches learners how to construct a predictive model within a Data Fabric solution.
“Introduction to Intelligent Virtual Agents with IBM Watson Assistant” introduces Watson Assistant and its features, such as built-in steps, and guides learners to differentiate between chatbots, ChatGPT, and intelligent virtual agents.
“Building Advanced Intelligent Virtual Agents in IBM Watsonx Assistant” covers how to create instances that can handle multitasks via various channels and provide generative AI interactions. It also includes creating user personas, managing complex tasks using actions and subactions, and using debugging tools for optimization.
“Generative AI for Data Scientists Specialization” provides data professionals with a strong foundation in generative AI, enabling them to apply it to data science problems. Participants will work on a range of hands-on projects such as generating text, images, and code, and creating prediction models.
“Generative AI for Software Developers Specialization” provides software developers with the knowledge and skills to leverage generative AI for writing top-notch code and includes various hands-on projects to increase productivity and effectiveness.
“Advanced Intelligent Document Processing with IBM Watson Discovery” equips AI specialists with intermediate NLP skills to boost document processing, including creation of regular expressions, customization of queries, web crawling, and the use of Smart Document Understanding models.
“Mastering Document Retrieval with IBM Watson Discovery API” establishes key skills for using the Watson Discovery API to develop sophisticated document retrieval systems. The curriculum explores techniques such as regular expressions, Discovery Query Language, text classification, relevancy training, and result modification.
In summary, IBM provides myriad AI courses that empower learners with the knowledge and abilities needed to harness the potential of AI in their respective fields effectively. Their offerings stand out due to their hands-on focus, making them notably practical for those wanting to implement AI solutions and push innovation boundaries.
