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Build Java microservices with Spring Boot and Spring Cloud: work with Servlets and JSP, Maven projects, RESTful services, and Netflix Eureka service discovery.
Write procedural Visual Basic programs: read keyboard input, print to the console, declare and convert data types, branch with if/else and case, and build loops.
Build an Azure infrastructure: manage subscriptions and resource groups, configure RBAC and Azure AD identities, set up storage accounts, VNETs, and highly available virtual machines.
Master CRMs, automation platforms and AI-powered analytics, lead virtual buying-committee presentations, and build post-sale success plans that drive loyalty and referrals.
Review Scrum roles, events, and artifacts, the Agile Manifesto, Scrum pillars and values, user stories, and the Definition of Done to prepare for the Certified Scrum Master exam.
Configure next-generation firewalls and deploy intrusion prevention systems: maintain IPS rules and signatures, interpret system output, respond to threats, and design ongoing network monitoring.
Learn Angular 17 basics: set up the environment, structure an app, build nested components with decorators, and apply style, class, and two-way data binding.
Hunt for threats proactively in network data and respond to breaches: apply detection tools, build incident response and communication plans, and run simulated scenarios.
Use Spring Data repositories to abstract JPA, expose them as HATEOAS REST services, and apply Spring AOP and declarative transaction management in Spring Boot applications.
Learn core cloud computing concepts: on-demand shared infrastructure, consumption-based pricing, public, private, hybrid and community deployment models, SaaS, PaaS and IaaS, plus configuring a cloud account.
Build a foundation in IoT and industrial automation: IoT architecture, sensor types, communication protocols, Industry 4.0, and best practices for industrial IoT data, analytics, and security.
Use Python, NumPy and pandas to explore supply chain datasets: clean and reshape data with merges, pivots and groupby-apply-transform, and optimize costs with linear programming.
Learn programming fundamentals in Python: data types, operators, variables, subroutines, conditionals and loops, plus algorithms, design patterns, and object-oriented concepts like inheritance and polymorphism.
Learn time series fundamentals — stationarity, trend, seasonality, autocorrelation — then predict demand with lagged regression and ARIMA models in Python.
Connect Java applications to databases with JDBC: load drivers, send commands with Statement objects, extract data via ResultSet and JdbcRowSet, and define referential integrity constraints.
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