Professionals AWS Offers 6 Free IT Courses For Freshers 2025-26
AWS offers 6 Free IT Courses Amazon Web Services (AWS) has introduced 6 New Upcoming , Fully Free Online Courses aimed at helping Students and professionals in India Acquire in-Demand Skills in AI, Cloud, Data, and DevOps—with No prior Experience Required. Check Below what’s The AWS offers 6 Free IT Courses Could be Offered.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted Cloud Based Flatform. Millions of Customers—including the Fastest-Growing Startups, largest Enterprises, and leading government Agencies—use AWS To be More Agile, lower Costs, and innovate Faster.
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1. AWS Cloud Quest: Cloud Practitioner
2. Machine Learning Plan
3. Getting Started with DevOps on AWS
4. Machine Learning Terminology and Process
5. Data Analytics Learning Plan
6. DevOps Engineer Learning Plan
1. AWS Cloud Quest: Cloud Practitioner
AWS offers 6 Free IT Courses A organised Approach To Machine Learning That often includes Comprehending Basic Concepts (e.g., supervised and unsupervised learning), algorithms (e.g., regression and classification), data preprocessing, Model training and Evaluation, and Deployment Techniques.
An interactive, Game-Based Course that introduces cloud concepts through real-world scenarios. Ideal for beginners, it covers AWS core services, security, and architecture basics to prepare learners for entry-level cloud roles. (Amazon Web Services) AWS offers 6 Free IT Courses For Freshers 2025-26
2. Machine Learning Plan
This includes Understanding How to Apply DevOps Principles and Techniques To AWS Services. Continuous Integration / Continuous Delivery (CI/CD) Pipelines with AWS Code Pipeline, Code Build, and Code Deploy, infrastructure as code with AWS Cloud Formation, and monitoring/logging with Amazon Cloud Watch and CloudTrail are all important.
A structured, beginner-friendly curriculum that builds foundational machine learning (ML) knowledge, including data preparation, model training, and evaluation. Great for those looking to start a career in AI or ML using AWS tools.
3. Getting Started with DevOps on AWS
A 60-minute introductory course that explains the basics of DevOps culture, tools, and practices on AWS. It covers key concepts like automation, CI/CD pipelines, and infrastructure as code.
4. Machine Learning Terminology and Process
A short course (approx. 1 hour) focused on key ML terms and workflows, helping learners understand how models are built, trained, and deployed. It’s a perfect quick-start for beginners.
This section discusses the essential vocabulary and steps required in a typical Machine Learning project. Termology comprises features, labels, models, training data, validation data, overfitting, and bias. The procedure frequently includes data collection, preprocessing, model selection, training, evaluation, tuning, and deployment.
5. Data Analytics Learning Plan
This course plan helps learners understand How to Collect, analyze, and visualize Data using AWS Analytics services. Topics include data lakes, dashboards, and transforming raw data into business insights.
This usually entails learning data manipulation with tools like SQL and Python (Pandas), data visualisation, statistical analysis, and dealing with big data technology. On AWS, this might include services such as Amazon S3, Amazon Redshift, Amazon Athena, and Amazon QuickSight.
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6. DevOps Engineer Learning Plan
An in-depth course track for aspiring DevOps professionals. Covers topics like version control, automation tools, deployment strategies, and monitoring — all within the AWS ecosystem.
A complete approach for Aspiring DevOps Engineers. This includes Mastering version Control (Git), knowing CI / CD principles, Scripting language Expertise (e.g., Python, Bash), knowledge of Containerisation (Docker, Kubernetes), infrastructure as Code, Cloud Platforms (particularly AWS), and Monitoring / logging Tools.
