Cisco Certified Network Associate (200-301) Practice | 2026

Welcome to the Course Master Java Functional Programming with Lambdas and Streams.My name is Harshith Gandham and I am going to be the instructor for this course.Functional programming is revolutionizing Java development, and mastering Lambdas and Streams will take your coding skills to the next level.Whether you're working on high-performance applications, or just want to write more elegant code, this course will give you the hands-on practice and deep understanding you need.This course is well-suited for for:Java developers transitioning to modern Java (8+).Computer science students wanting to master functional programming.Tech leads looking to write cleaner, scalable code.Coming to the Prerequisite, you should have atleast 3 months of programming experience of Java.This course is structured into two main categories: Concepts ProblemsKeep in mind—the real learning happens in the Problems section. The concepts are just to give you a foundation, just enough to get you started with solving problems.Here’s how to make the most of this course:For each section, start by relaxing and watching the concept videos.Once you're familiar with the theory, dive into the problems.After solving them, compare your solutions with the ones provided.Following this approach, you’ll build a solid understanding and hands-on skills in Functional Programming.Remember, you’re protected by our 30-day money-back guarantee—if you’re not satisfied, you get a full refund, no questions asked.I am super excited to see you enrolled in this courseLet’s dive into the world of Lambdas and Streams together. Happy coding!

Transformers are the dominant neural architecture in modern AI. This course covers everything there is to know about transformers, including what inspired their birth, how they have evolved and become more efficient, and how they grew from their origins in natural language processing into the most ubiquitous neural architecture. The course primarily covers theory and general concepts. There are a few coding exercises and equations scattered throughout, but if you are looking for a deep technical dive, you should probably look elsewhere. The most technical parts of this course cover building multi-headed attention and transformer blocks from scratch, using Pytorch. Some of the topics covered in this course include:Efficient transformersLongformerReformerVision transformer (ViT)wave2vec2stable diffusionthe perceiver familydecision transformerChatGPT and how to combine generative pre-trained (GPT) models with reinforcement learning with human feedback (RLHF)Tokenizers and positional encoding strategiesFine tuning a language model, like BERT, using Pytorch and HuggingFaceHow to think about attention from a sequence perspective and a graph perspective, and how these perspectives can yield insights into improving transformersThe course spends more time on text than other data types. This is because of the recent hype around LLMs. The course aims to demystify LLMs like ChatGPT, and help you learn how to explain them to non-technical audiences.

Immerse yourself in the complete realm of DevOps and CI/CD in our hands-on course. From foundational insights into modern software development's cornerstone to mastering CI/CD's efficiency, you'll acquire an array of skills:Set up Jenkins manually and via automation, observing real-world demonstrations.Deep dive into Jenkins pipelines, exploring job types and their utilities.Embrace Jenkins as code and leverage its robust DSL capabilities.Dockerize applications, executing end-to-end CI/CD with seamless Jenkins integration.Construct fully automated CI/CD pipelines to streamline development workflows.Optimize collaboration and version control with GitHub branching strategies.Seamlessly introduce features through pipelines, boosting development agility.Automate Jenkins orchestration via Terraform, building AWS infrastructure.Utilize code-driven Jenkins job DSL scripts for efficient job creation.Master CI/CD by understanding the complete feature lifecycle.Choose between Scripted and Declarative pipelines, aligning with your workflow.Implement scalable Jenkins Master-Slave Architecture for efficient setups.Navigate integration with Email, Bitbucket, Sonarqube, and JFrog.Dive into AWS CodePipeline, uncovering features and integration possibilities.Witness GitHub Actions' capabilities for robust automated workflows.Unearth Azure DevOps components, leveraging tools for efficient development.Seamlessly deploy applications from VS Code through Azure DevOps pipelines.Join us to embark on a transformative journey that equips you with the skills to excel in the evolving landscape of software development.

VLSI Industry is divided into two popular branches viz. Design of System and Verification of the System. Verilog, VHDL remain the popular choices for most Design Engineers working in this domain. Although, preliminary functional verification can be carried out with Hardware Description Language. Hardware Description language possesses limited capabilities to perform code coverage analysis, Corner cases testing, etc and in fact sometimes it becomes impossible to perform this check with HDL's. Hence Specialized Verification languages such as SystemVerilog start to become the primary choice for the verification of the design. The SystemVerilog Object-oriented nature allows features such as Inheritance, Polymorphism, etc. adds capabilities of finding critical bugs inside design that HDL simply cannot find. Verification is certainly more tricky and interesting as compared to designing a digital system and hence it consists of a large number of OOP's Constructs as opposed to Verilog. SystemVerilog is one of the most popular choices among Verification Engineer for Digital System Verification. This Journey will take you to the most common techniques used to write SystemVerilog Testbench and perform Verification of the Chips. The course is structured so that anyone who wishes to learn about System Verilog will able to understand everything. Finally, Practice is the key to become an expert.

Master the latest stable version of Oracle ADF 12.2.1.2 – your gateway to building powerful enterprise applications.Set up your development environment – install JDeveloper, configure Oracle XE, and navigate JDeveloper like a pro.Boost productivity – speed up JDeveloper and streamline your workflow quickly.Build full CRUD functionality (Create, Read, Update, Delete) and develop interactive ADF web applications.Deploy your ADF applications to WebLogic Server for real-world scalability.Integrate REST Web Services and secure them with ADF Security.Work on a real-world Project Management App Case Study – apply your skills to a hands-on project effectively.Learn best practices for optimising performance, debugging applications and improving security.Why Take This Course?Oracle ADF is a powerful framework for building enterprise-grade applications. This course provides a structured approach, guiding you from beginner to expert with real-world examples. Whether you're a developer, analyst, or IT professional, mastering ADF will give you a competitive edge in the job market.This course includes step-by-step lessons, practical assignments, hands-on coding exercises, and expert guidance to reinforce your learning. By the end, you'll have the confidence to build, secure, and deploy enterprise applications efficiently.Join now and start your journey as an Oracle ADF Developer today!

The Salesforce Certified Marketing Cloud Consultant program is designed for individuals who have experience configuring Marketing Cloud solutions. The candidate has proven experience with the administration and configuration of Marketing Cloud, as demonstrated through successful completion of the Salesforce Certified Marketing Cloud Administrator exam. This credential is targeted toward the Salesforce consultant or partner who has mastered the implementation of Marketing Cloud by demonstrating design best practices, executing deployment of campaigns, and finalizing custom solutions for customers. The Salesforce Certified Marketing Cloud Consultant is able to meet customer business requirements that are maintainable, scalable, and contribute to long-term customer success.The Salesforce Certified Marketing Cloud Consultant has experience using Marketing Cloud tools in executing both tactical and strategic email campaigns. The consultant knows how to build email marketing campaigns while incorporating different tools such as the content system, segmentation, automation, tracking, and analytics to make data-driven decisions to optimize customer email campaigns. The Salesforce Certified Marketing Cloud Consultant is also able to troubleshoot and solve platform issues.The Salesforce Certified Marketing Cloud Consultant has six or more months of implementation experience and/or at least five implementation projects with hands-on experience as a Salesforce Marketing Cloud Solutions Architect or similar expertise implementing Marketing Cloud and associated tools. The Salesforce Certified Marketing Cloud Consultant possesses facilitation and consultative skills at a technical level.