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Learn a strategic framework for successfully implementing AI in enterprises, covering key steps from modernizing information architecture to deploying and maintaining AI-based business solutions.
Learn to create and deliver impactful presentations with confidence. Develop skills in organizing content, building memorable slide decks, and effectively communicating your message to leave a lasting impression on your audience.
Learn front-end development essentials: UI/UX, web technologies, no-code tools, and career paths. Gain hands-on experience with WordPress and build a portfolio to kickstart your journey in web development.
Develop microservices and serverless applications using Python, Flask, and IBM Cloud Code Engine. Learn REST APIs, API gateways, and deploy a front-end app with multiple microservices.
Comprehensive guide for aspiring data scientists, covering job search strategies, resume building, interview preparation, and career development in the field of data science.
Comprehensive guide for aspiring software developers, covering job search strategies, resume building, portfolio creation, interview preparation, and coding challenges. Includes expert insights and career development tips.
Explore NoSQL databases, their types, and key features. Gain hands-on experience with MongoDB, Cassandra, and IBM Cloudant. Learn to perform common tasks and understand when to use NoSQL vs. RDBMS.
Hands-on labs for z/OS tasks, covering JCL, JES, ISHELL, HFS, z/OSMF, VSAM, system libraries, Language Environment, GDGs, RAIM, DB2, and UNIX System Services for IBM Z system programmers.
Comprehensive R course for data analysis: from data wrangling to model development and evaluation. Learn to predict flight delays using real-world airline data and tidymodels framework.
Comprehensive AI workflow specialization preparing for IBM certification, covering business priorities, data science, machine learning, and deployment using IBM Cloud and open-source tools.
Explore unsupervised machine learning techniques, including clustering and dimensionality reduction, to uncover insights from unlabeled data. Gain hands-on experience with algorithms and best practices.
Explore core concepts, models, and platforms of generative AI. Gain hands-on experience with IBM watsonx and other tools to generate text, images, and code using foundation models.
Comprehensive assessment covering data analytics fundamentals, Excel proficiency, and visualization techniques using Excel and IBM Cognos. Test your skills in data ecosystem, analysis, cleansing, and effective visualization.
Explore generative AI's societal impact, ethical concerns, and responsible use. Learn about its limitations, potential misuses, and socioeconomic implications through real-world examples and expert insights.
Learn UI/UX design principles, responsive web methodologies, and Figma tools to create intuitive interfaces. Gain hands-on experience in designing user-centered digital products for web and mobile platforms.
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