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Top 5 Cloud Certifications to Earn in 2025

Cloud Computing / By Banu Sree Gowthaman

This Blog speaks about the top 5 in-demand cloud certifications you might want to get in 2025, skills acquired from those, your job prospects, and the best part? You will also know about the study resources that assist you in acing the certification. Read through to know more. 5. Google Cloud Professional Cloud Architect Why? The Google Cloud Professional Cloud Architect is a premier certification for designing GCP solutions, in high demand in AI and analytics, with salaries exceeding $130,000. It boosts your credibility for complex cloud projects. What does it cover? GCE, Kubernetes, Cloud Storage, VPCs, BigQuery, Spanner, Scalability, […]

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How to Use AWS Step Functions for Machine Learning Pipelines?

Amazon Web Services / By Mythili Sivakumar

AWS Step Functions play a vital role in machine learning (ML) pipelines. It is quite dominant in terms of embedded capabilities, workflows, integrations, and use cases with AWS. This blog explores how developers can use AWS Step Functions for machine learning pipelines and to integrate with AWS services. Here we will also cover the aspects of the AWS Certified Machine Learning Associate Certification (MLA-C01) exam that is important to get certified. What are AWS Step Functions? AWS Step Functions is a low-code, serverless orchestration service provisioned in AWS. The functionality uses state machines to coordinate distributed applications and automate

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How Does AWS Handle Big Data for ML?

Amazon Web Services / By Mythili Sivakumar

In this blog, we will discover the abilities of AWS to handle big data for ML. Maintaining high-quality data and records comes with a high level of challenges, but the AWS tools for processing and analysing big data come in handy. Let us explore how AWS achieves this! Major Challenges In Handling Big Data For Businesses Today, businesses are moving towards data-driven decision-making. From analysing customer interactions and transactions to IoT sensor data and Social media analysis, data is the starting point to extract meaningful insights. The main challenges faced in handling big data are Storing and retrieving data without

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What Is the Role of AWS Lambda in AI Model Deployment?

Amazon Web Services / By Anitha Dorairaj

In this blog we will look into how AWS Lambda has emerged as a powerful tool that is being increasingly applied by machine learning engineers and developers in deploying Artificial Intelligence (AI) models. Let’s also discuss the role of it in AI model deployment, which is important in your preparation for the AWS Certified AI Practitioner Certification (AIF-C01) exam. Understanding AWS Lambda for AI AWS Lambda is a serverless computing service that facilitates the running of code without provisioning or managing servers. The functionality automatically scales the compute resources based on the incoming workload. The following diagram shows the architecture

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How does AWS Lambda Support AI Inference and Model Execution

Amazon Web Services / By Banu Sree Gowthaman

In this blog, you will learn more about AWS Lambda, a powerful serverless computing service that empowers AI inference and model execution without infrastructure management, and a major service used by AWS Certified AI Practitioners. Read through to know more about how it supports AI inference and model executions, serverless architecture, model deployment strategies, scalable AI workloads, and others, with use cases for better understanding. Serverless AI Model Execution AWS Lambda enables serverless AI inference by eliminating infrastructure management while providing auto-scaling, cost efficiency, and seamless integration with AWS AI/ML services. Below is an in-depth look at how AWS Lambda

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what are the key model deployments for AWS AIF C01

What are the Key Model Deployment Strategies for AIF-C01?

Amazon Web Services / By Aneesfathima Kareem

In this blog, let us deep-dive into different AI Key model deployment strategies like Amazon SageMaker, AWS Lambda, AWS Inferentia, Elastic Inference and more from the AWS services. Here, you will also understand the best practices to deploy efficient machine learning models, performance optimisation, scalability, and cost-effectiveness. AWS Certified AI Practitioner Certification Overview: The AWS Certified AI Practitioner certification resources are designed in such a way as to help professionals have a strong foundational understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI). As one of the major aspects of AI implementation on AWS is model deployment and how

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How to Optimise ML Pipelines on AWS for AI Practitioners?

Amazon Web Services / By Mythili Sivakumar

This blog is about optimising ML pipelines that serve as the foundation for constructing and deploying models at scale; their optimisation is key. AWS offers a variety of solutions designed to orchestrate machine learning workflows, equipping organisations with a complete set of tools to simplify and automate their ML processes. As a candidate for the AWS Certified AI Practitioner Certification exam, you should ensure that you master these techniques, which is crucial. Optimising ML pipelines on AWS There are various considerations, steps and processes that can be followed by AI practitioners to effectively optimise ML pipelines on AWS. These include

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How to Improve Model Outcomes with AWS ML Performance Tools?

Amazon Web Services / By Banu Sree Gowthaman

This blog discusses the AWS services and tools that can help improve model performance and outcomes with relevance to AWS Certified Machine Learning Engineer-Associate (MLA-C01) certification. You can automate performance tracking, anomaly detection, and real-time debugging using these tools. Read through this blog to ensure the model remains accurate, reliable, and aligned with business goals, even in dynamic environments. AWS Certified Machine Learning Engineer-Associate (MLA-C01) overview Launched in June 2024, the AWS Certified Machine Learning Engineer-Associate (MLA-C01) exam, is one of the newest AWS certifications that aligns with the evolving needs of the industry and ML engineers. The MLA-C01 exam

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How to Pass the AWS AI Practitioner Exam on Your First Try?

Amazon Web Services / By Banu Sree Gowthaman

Not feeling confident enough about attempting the AWS AI Practitioner exam? Anxious that you may underperform? We have all been there and have understood with experience that it takes more than just a basic understanding of AI concepts to clear the exam. What you need is a core understanding of AWS core services and the capability to apply your understanding to real-world scenarios. With the right strategy and study approach, you can pass the AIF-C01 certification exam confidently on your first attempt. To help you out, this blog outlines a 4-week study plan along with preparation tips so you don’t

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AWS ML Workflow: Certification Best Practices

Amazon Web Services / By Banu Sree Gowthaman

Understanding the best practices in AWS ML workflows will not only earn you an AWS certification but also enable you to optimize and automate ML models on an advanced level. This article will explore some of the best practices when working with ML workflows and automation on AWS so that you’re not only successful in certification but also practical applications. Keep reading to find out more. How Machine Learning (ML) Workflow on AWS Works? To understand Machine Learning Workflow on AWS, there are several steps one needs to be conversant with for a model to be transformed from a concept

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