Are you ready to take your career to the next level? Whether you’re looking to master cloud computing or venture into the exciting world of data analytics, our specialized programs, in collaboration with the prestigious University of Texas at Austin, are designed to equip you with the skills, knowledge, and certifications needed to succeed. These courses are crafted to help professionals like you remain competitive in the ever-evolving tech-driven job market.
Cloud Computing Postgraduate Program: Using GenAI
Gain In-Demand Cloud Skills to Advance Your Career
Rated 4.58 stars by over 5,000 professionals, the Cloud Computing Program offered by Great Learning in partnership with UT Austin is an excellent opportunity to open new doors in the tech industry. This comprehensive 6-month program combines engaging mentorship, career support, and a hands-on learning experience to ensure your success in the cloud computing space.
Key Features:
- Learn over 90 cloud services from AWS, Azure, and Google Cloud, covering essential cloud technologies.
- Prepare for top industry certifications with study guides and practice tests.
- Personalized mentorship with field professionals through live sessions.
- Work on real-world cloud projects to gain practical experience.
- Enhance your knowledge with cloud-based GenAI applications.
- Earn a Certificate of Completion from the University of Texas at Austin, recognized globally.
Curriculum Includes:
- Cloud Foundations and Cloud Computing on AWS
- Managed Services on AWS & DevOps
- Azure Essentials and Managed Services on Azure
- Masterclass on AI Services on Cloud
- Capstone Project (Optional)
Ready to level up your skills even further? Explore additional training programs like AWS Solutions Architect or Microsoft Azure Administrator certifications to complement your cloud expertise.
To learn more about this transformative program, check out our Cloud Computing Course.
Develop Critical Data Analytics Skills to Propel Your Career
The Data Analytics Essentials Program equips you with the essential tools and techniques to work with data, derive meaningful insights, and solve business problems using advanced analytics tools such as Tableau, Python, and SQL. Rated 4.74 stars by more than 6,600 learners, this 3-month program is perfect for professionals seeking to either enter or advance in the field of data analytics.
Key Features:
- Work on 3 industry projects to hone your skills through hands-on learning.
- Master Python programming, data visualization, and data storytelling.
- Receive live mentorship from field professionals to guide your learning journey.
- Access a wealth of e-learning materials, including webinars, lectures, and assignments.
- Get personalized assistance from a dedicated Program Manager.
- Earn a Certificate of Completion from UT Austin, recognized worldwide by employers.
Curriculum Highlights:
- Data Analysis with SQL & Excel
- Exploratory Data Analysis (EDA)
- Data Transformation with Pandas and Numpy
- Data Visualization with PowerBI and Tableau
- Generative AI and ChatGPT Applications
- Data Storytelling and Reporting
The program is designed to equip you for in-demand roles like Data Scientist, Business Analyst, Data Analyst, Product Analyst, and more.
To kickstart your career in the data analytics field, explore our Data Analyst Course Online.
Why Choose These Courses?
Both the Cloud Computing and Data Analytics Essentials Programs from UT Austin and Great Learning are designed to provide you with a competitive edge in two of the fastest-growing fields. Here’s what you can expect:
- World-Class Learning Experience: Participate in peer discussions, live mentorship, and access interactive content that enhances your learning.
- Certification from a Top-Ranking University: Strengthen your credentials with a certificate from UT Austin, which is highly regarded by employers across industries.
- Career Support: Benefit from career coaching, networking opportunities, and resume-building assistance to help you land your dream job.
- Hands-On Projects: Gain real-world experience by working on industry projects that put your knowledge into practice.
