Whizlabs Blog - Online Learning Place for Cloud Professionals

Cloud Sandbox vs Personal Cloud Account – Which One to Use?

Cloud platforms already offer free tier accounts. So when does a sandbox become the better way to practice? When you start learning cloud, the obvious first step seems to be signing up for a free account on AWS, Azure or GCP. It is free and it is right there. But free does not always mean easy to practice and for many learners, that difference becomes a frustration as they go further with free personal cloud accounts. This is not an argument against personal cloud accounts. They have their place and we will get to that. But for a growing number […]

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How to Prepare for Microsoft AB-100 Certification?

Generative AI / By Suneel Moopanar

How To Prepare For AB-100 Certification? | Study Guide AB-100 certification preparation begins by understanding how to plan, design, and deploy AI-powered solutions to solve real business problems. It involves a clear grasp of the key skills and covering the guidelines for the exam, so you know what to expect. But since it is an advanced-level certification, preparation can be quite challenging. That’s why a step-by-step approach is crucial to develop the right set of skills and prepare confidently so you can pass the certification exam on the first attempt. The blog acts as a practical guide to help you

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Claude Certified Architect Marks the Start of the Agentic AI Certification Era

Claude Certified Architect: Agentic AI Era Begins

Generative AI / By Mythili Sivakumar

Claude Certified Architect: Agentic AI Era Begins Anthropic didn’t just launch a certification. It quietly signalled where enterprise AI is heading next. On the surface, Claude Certified Architect – Foundations (CCA-F) looks like another technical credential in the increasingly crowded AI learning market. Another exam. Another badge. Another signal for LinkedIn. But that reading misses a bigger shift. This launch isn’t really about test-taking. It’s about what the AI industry is beginning to treat as a real, deployable skill. For the last two years, the market rewarded a familiar kind of AI fluency: prompt experimentation, tool familiarity, model comparisons, and

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Microsoft's Next-Gen AI Certifications 2026

Microsoft’s Next-Generation AI Certifications 2026 – Q&A

Microsoft Azure / By Hamsha Vhardhni R

Microsoft’s Next-Generation AI Certifications 2026 – Q&A Microsoft announced on March 6, 2026 that their existing 7 certifications are retiring and 9 new AI-focused certifications are being introduced as part of a major update to its certification roadmap. This is a major shift in Microsoft’s certification roadmap. It is embedding AI directly into specific technical roles across Azure Databricks, Cybersecurity, SQL, MLOps, GenAIOps, and hybrid Cloud + AI tracks. By doing so, Microsoft signals to the industry that it is leading the transition towards AI, and that AI competency is now a baseline expectation built into every role. In this

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How to Become an AI Engineer in 2026: Roadmap, Skills, Salary & Certifications

Amazon Web Services, Cloud Computing, Google Cloud, Microsoft Azure / By Suneel Moopanar

How to Become an AI Engineer in 2026: Roadmap, Skills, Salary & Certifications? An AI Engineer is a technology professional who designs, builds, and deploys artificial intelligence solutions using machine learning, generative AI, and cloud platforms like AWS, Azure, and Google Cloud. In 2026, AI engineering careers are expanding rapidly due to enterprise adoption of AI-native cloud architectures and agentic AI systems. The demand forecast for AI engineers shows a CAGR of 20.7%, with the requirement reaching 14.1 million by 2030. Companies like Google, Oracle Corporation, and Microsoft are already preferring professionals who can leverage AI to develop advanced solutions.

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Databricks-vs-AWS-vs-Azure-Best-Platform-for-Generative-AI-Careers

Databricks vs AWS vs Azure: Best AI Career Platform 2026

Amazon Web Services, Cloud Computing, Databricks, Microsoft Azure / By Mythili Sivakumar

Databricks vs AWS vs Azure – Best Platform for Generative AI Careers in 2026 Databricks, AWS, and Azure power three distinct generative AI career tracks. Databricks guides Data and ML engineers building custom models; AWS suits ML engineers deploying production pipelines; while Azure is the go-to for enterprise AI architects in Microsoft-integrated environments. Your best starting point depends entirely on your target role. Generative AI has moved from experimentation to real-world deployment, which is faster than almost any other technological shift in recent years. In this guide, we’ll break down Databricks vs AWS vs Azure from a career perspective, helping

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How MLA-C01 Practice Tests Help You Master AWS SageMaker & MLOps?

Amazon Web Services / By Mythili Sivakumar

How MLA-C01 Practice Tests Help You Master AWS SageMaker & MLOps? What Is the AWS MLA-C01 Certification and Who Should Take It? MLA-C01 is not just another certification but your pathway to landing high-paying, in-demand machine learning jobs. When taking the exam, it is important that your core concepts must be clear. The target candidate should have at least 1 year of experience in SageMaker, machine learning operations, and model deployment. The AWS MLA-C01 practice tests help identify your weak points, improve your understanding, and prepare you confidently for the AWS Certified Machine Learning Engineer – Associate exam. The World

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ML Engineer vs AI Engineer: Salary & Career Path

Amazon Web Services / By Mythili Sivakumar

ML Engineer vs AI Engineer on AWS: Certification, Skills & Salary Comparison ML engineers and AI engineers are closely related. That’s why it is common for professionals to confuse the two. They are a part of the same digital world, but some important differences set them apart. An ML engineer is a professional who trains the model, whereas an AI engineer builds the intelligent systems using that model. It is important to break down the nuance of ML engineer vs AI engineer to head in the right direction. This is important for a professional exploring a career within the Amazon

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Is AWS Certified Security – Specialty Worth It in 2026?

Amazon Web Services / By Mythili Sivakumar

Is AWS Certified Security – Specialty Worth It in 2026? Cloud security in 2026 is a buzzing topic focused on building robust, large-scale cloud environments. Today’s enterprises manage sprawling multi-account AWS infrastructures where identity management, encryption protocols, audit logging, and compliance frameworks must operate in perfect harmony. The AWS Certified Security Specialty exam helps you build the same. It does not test whether you can name services. It tests whether you understand how security behaves inside AWS under real production constraints. Passing the AWS SCS-C03 exam requires architectural thinking more than memorization. This blog will teach you how to prepare

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Generative AI LLM Career Paths in 2026: Roles & Certification

Nvidia / By Suneel Moopanar

Generative AI LLM Career Paths: Roles, Skills & Certification The market of Generative AI is expected to increase at a CAGR of 36.2% between 2024 and 2029. The reason? Organisations are shifting from basic chatbot operations to sophisticated models for complex tasks. Clearly, the respective job opportunities will grow at a massive rate and open up new career paths for AI experts. Whether you are a strategist, an engineer, or an architect, your employment opportunities will significantly increase. Your pathway to getting that offer letter begins by validating the foundational concepts and harnessing your skills. But which skills do you

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