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Introduction to Graphic Illustration
Unlocking Information Security I: From Cryptography to Buffer Overflows
Quantum Mechanics for Everyone
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Cognitive Class is an online learning platform offering a range of courses and resources to help people become data and AI-ready.
Explore containers, Kubernetes, and OpenShift in cloud computing. Learn to build, deploy, and manage scalable applications using cutting-edge technologies for cloud-native development.
Learn to create a blockchain-based IoT network for supply chain management, enhancing transparency and efficiency in tracking goods.
Learn to create and deploy a chatbot using Watson Assistant, covering intents, entities, dialog, and advanced features. No coding required. Practical labs included for hands-on experience.
Explore essential data science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. Learn their features, capabilities, and practical applications through hands-on exercises in Python and R.
Discover Apache Spark's fundamentals for fast, scalable big data processing. Learn RDDs, DataFrames, application programming, libraries, and cluster management for efficient analytics across diverse data sources.
Learn to build and deploy cloud-native applications using microservices, DevOps, containers, Kubernetes, and OpenShift. Explore CI/CD pipelines and multicloud architectures for modern app development.
Learn Apache Hadoop basics, architecture, administration, and ecosystem components. Explore MapReduce, HDFS, and related projects like Pig, Hive, and Sqoop for efficient big data processing and management.
Explore data privacy through real-world breaches, laws, and ethical considerations. Gain practical insights to protect sensitive information and navigate privacy challenges in organizations.
Learn best practices for implementing DataOps, a collaborative data management approach that improves communication, integration, and automation of data flows to deliver high-quality, trusted data for AI and analytics.
Holistic approach to Big Data: platforms, insights, and enterprise applications. Emphasizes integration, governance, and diverse technologies beyond Hadoop and SQL.
Explore IoT app development using Watson, Swift, and Node-RED. Learn to create intelligent, connected applications for the future of technology.
Learn R fundamentals for data analysis using movie data. Cover syntax, data structures, programming basics, file operations, and string/date handling. Gain confidence to write R scripts.
Learn to create interactive AI-powered robots using TJBot, exploring hardware assembly, software setup, and programming for engaging robotic experiences.
Learn to leverage Apache Sparkâ„¢ with Scala for Big Data analytics, including machine learning pipelines and hyperparameter optimization in a cluster environment.
Learn TensorFlow for deep learning: from basics to advanced architectures. Master neural networks, CNNs, RNNs, and autoencoders. Practical applications in image, sound, and text processing.
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