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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.
Learn about cloud-native technologies, microservices architecture, and Istio for managing and securing services in IBM Cloud Kubernetes Service.
Learn to extract valuable insights from text data using Information Extraction techniques. Explore applications in social media, healthcare, and finance while gaining hands-on experience with entity, relation, and event extraction.
Learn mathematical programming fundamentals to model and solve optimization problems using IBM Decision Optimization technology, covering key concepts, techniques, and algorithms.
Dive into machine learning fundamentals using R. Explore supervised and unsupervised learning, statistical modeling, and various algorithms. Gain practical insights through real-life examples and societal impacts.
Learn Scala for data science: fundamentals, tooling, and advanced features. Ideal for experienced developers looking to enhance their skills in big data and functional programming.
Explore quantum concepts like superposition and entanglement through hands-on labs, gaining practical insights into this cutting-edge field of computing.
Explore NoSQL databases and Database-as-a-Service offerings, focusing on IBM Cloudant. Learn to create, manage, and query document databases for scalable and flexible application development.
Learn core principles of Reactive Architecture, exploring its goals, benefits, and relationship to Reactive Programming. Understand the Actor Model and analyze a real-world case study.
Explore advanced Kubernetes Operators: Golang reconciliation, OLM for deployment and upgrades, and Scorecard for testing. Enhance your skills in creating robust, manageable, and testable operators.
Explore Istio's capabilities in managing microservices on Kubernetes, including traffic control, security, and observability. Learn hands-on with the Guestbook app deployment.
Learn to streamline data pipelines using Apache Kafka. Explore architecture, command-line tools, Java API for producers and consumers, and integration with Kafka Connect and Spark Streaming.
Learn to control Hadoop jobs with Oozie, covering workflow components, scheduling, and using a graphical editor to simplify XML coding for efficient job management and automation.
Learn Apache Spark for large-scale data processing using Scala. Covers RDDs, DataFrames, and MLlib for analytics on datasets. Ideal for developers seeking to leverage Spark's powerful ecosystem.
Explore techniques for balancing consistency and availability in distributed systems, understanding CAP theorem and scalability laws to build efficient reactive architectures.
Learn Apache SystemML for scalable machine learning with R-like and Python-like syntax. Explore optimized runtime plans, hands-on examples, and automatic scalability for increased productivity in ML algorithms.
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