1. Free Tier Accounts AWS Free Tier: AWS offers a free tier that provides limited free access to many of their services for 12 months. This includes 750 hours of Amazon EC2 instances, 5GB of Amazon S3 storage, and more. Azure Free Account: Microsoft Azure offers a free account with $200 credit for tRead more
1. Free Tier Accounts AWS Free Tier:
AWS offers a free tier that provides limited free access to many of their services for 12 months. This includes 750 hours of Amazon EC2 instances, 5GB of Amazon S3 storage, and more. Azure Free Account: Microsoft Azure offers a free account with $200 credit for the first 30 days and access to popular services free for 12 months, including 750 hours of B1S virtual machines, 250GB of SQL Database storage, and more. Google Cloud Free Tier: Google Cloud provides $300 in free credits for 90 days, and access to some free-tier services like 1 f1-micro instance per month and 5GB of Cloud Storage.
2. Online Learning Platforms AWS Skill Builder:
Offers numerous free digital training courses covering a wide range of AWS services and solutions. Microsoft Learn: Provides free learning paths and modules for Azure, including interactive tutorials and sandbox environments. Google Cloud Training: Qwiklabs offers introductory labs and quests for Google Cloud, some of which are free. Google Cloud also has a free introductory course on Coursera.
3. Hands-On Labs and Sandboxes AWS Workshops:
Free hands-on workshops covering different AWS services and use cases. Azure Sandbox: Through Microsoft Learn, Azure Sandbox offers free temporary environments to practice Azure tasks without any setup. Qwiklabs for Google Cloud: Provides free introductory labs to get hands-on experience with Google Cloud.
4. Open Source Projects GitHub:
Explore and contribute to open-source projects that utilize cloud services. Many repositories offer guidelines on how to deploy using AWS, Azure, or Google Cloud. Public Cloud Repositories: AWS, Azure, and Google Cloud have official GitHub repositories with sample projects and deployment guides.
5. Online Communities and Forums AWS Community:
Participate in free forums and AWS Developer communities to get advice and collaborate on projects. Microsoft Tech Community: Engage with the Azure community for support and learning resources. Google Cloud Community: Join the discussions, ask questions, and share knowledge on the Google Cloud Community.
6. Documentation and Whitepapers AWS Documentation:
Extensive free resources including tutorials, best practices, and whitepapers. Azure Documentation: Free access to detailed guides, architecture blueprints, and solution templates. Google Cloud Documentation: Comprehensive free tutorials, guides, and reference materials.
7. Free Tutorials and Blogs AWS Blog:
Free articles, updates, and tutorials on various AWS services. Azure Blog: Official blog with free insights, updates, and tutorials. Google Cloud Blog: Free resources, updates, and detailed tutorials.
8. YouTube Channels AWS YouTube Channel:
Offers free webinars, tutorials, and demo videos. Microsoft Azure YouTube Channel: Features free video tutorials and recorded webinars. Google Cloud YouTube Channel: Provides free instructional videos and use case demos.
9. Webinars and Virtual Events AWS Webinars:
Free webinars covering a range of topics from beginner to advanced levels. Azure Virtual Training Days: Free virtual events to get hands-on experience and interact with Azure experts. Google Cloud OnAir: Free virtual events and webinars focusing on different aspects of Google Cloud.
10. Free Certifications AWS Cloud Practitioner Essentials:
A free course that prepares you for the AWS Certified Cloud Practitioner exam. Microsoft Learn: Some free modules and learning paths can help prepare for Microsoft certifications. Google Cloud Training: Free introductory courses that provide the foundation for Google Cloud certifications.
By leveraging these free resources, freshers can gain substantial practical experience in cloud computing, building a solid foundation for future opportunities in the field.
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Freshers should seek projects or internships that align with their career interests and provide practical skills. For software development, projects involving building websites, and mobile apps, or contributing to open-source projects are valuable. In AI/ML, projects could focus on data analysis, deRead more
Freshers should seek projects or internships that align with their career interests and provide practical skills. For software development, projects involving building websites, and mobile apps, or contributing to open-source projects are valuable. In AI/ML, projects could focus on data analysis, developing predictive models, or implementing machine learning algorithms.
Internships in tech firms, startups, or research institutions are ideal for gaining industry exposure. Networking through career fairs, LinkedIn, and professional organizations helps in discovering internship opportunities. Crafting a strong resume showcasing relevant skills and experiences, tailored to the internship role, is crucial. Additionally, preparing for interviews by practicing technical questions and demonstrating enthusiasm for learning and teamwork enhances chances.
To secure an internship, freshers should also leverage personal connections, such as alumni networks or referrals from professors. Being proactive in reaching out to companies directly, expressing genuine interest in their work, and showcasing a willingness to learn and contribute can significantly improve internship prospects.
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