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Get an overview of size and growth in the cloud industry and career opportunities in Cloud Computing & Architecture. Also learn about the latest tools, techniques, and skills a cloud professional must know.

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Great Lakes PG Program in Cloud Computing

Great Lakes PGPCC is focused on empowering technology professionals for fast-track careers in Cloud and Distributed computing. It is a 6-month experiential program offered online with live virtual classes on weekends and an access to lab to work on real scenarios.

The program goes well beyond preparing you for certifications. It builds a sound foundation through coverage of essential topics such as Cloud Essentials, Cloud Architecture, Cloud Service & Deployment Models, Virtual Machines & Containers, Cloud Adoption, Migration, and Economics, as well as working on cloud platforms as Developer, DevOps, or Architect.

About Great Learning:
- Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.

- Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM

- What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U

- Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670

- Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU

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- Learn More at: https://www.greatlearning.in/

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Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.