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Build web applications with ASP.NET Core and MVC5 integrated with React: use Entity Framework Core, configure middleware and routing, secure apps, and design RESTful Web APIs.
Learn AI-driven attribution testing: attribution modeling fundamentals, implementation in practical scenarios, best practices drawn from case studies, and future trends plus ethical considerations.
Learn to apply data governance frameworks, policies, and metadata management in Databricks, implementing governance workflows, data security, and best practices through case studies.
Build Vue-based web apps with NuxtJS: set up pages, routing, layouts and components, manage state with VueX, fetch data, and handle SEO, static generation and deployment.
Learn the Flux architecture for web apps: set up the environment, work with actions and dispatchers, register stores, handle store events, and build views.
Connect data sources in Power BI Desktop, shape data with Power Query Editor and DAX, and build interactive dashboards applying visualization and data security best practices.
Master Teradata for data warehousing: its architecture and storage, advanced SQL and data management, plus performance optimization and core Teradata utilities.
Apply DevOps practices on Google Cloud: set up Cloud Source Repositories, build CI/CD pipelines with Cloud Build, deploy to GKE and Cloud Run, and monitor with Stackdriver.
Build cloud-native applications on Google Cloud: containerize with Docker and Docker Compose, orchestrate on Google Kubernetes Engine, and manage traffic, telemetry, and security with Istio.
Learn FinOps principles, personas, phases and maturity cycle, then use cloud account hierarchies and cloud-native or third-party billing tools to monitor, analyze and optimize cloud spending.
Optimize cloud costs using On-Demand and Spot pricing models, showback and chargeback, budgeting and VM right-sizing, and prepare for the Cloud FinOps Certified Practitioner Exam.
Learn to navigate Industry 4.0 adoption in manufacturing: external supply chain, legal and workforce hurdles, internal change, data security and funding barriers, and technology and process enablers.
Map the fourth industrial revolution onto the factory floor: study CAD/CAM/CIM, IoT value stacks, digital twins, additive manufacturing, and industrial robotics with RPA.
Explore the technologies behind smart factories: AI versus machine and deep learning, big data analytics, blockchain smart contracts, VR/AR/MR use cases, cloud migration, and manufacturing cybersecurity.
Explore Android's architecture layers — Linux kernel, runtime, libraries, application framework — and build multimedia apps with media playback, Camera2 API capture, video recording and streaming optimization.
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