According to the US Bureau of Labor Statistics data, educational attainment directly relates to the level of income and employment rate. Seizing opportunities for further post-graduate upskilling and reskilling is therefore vital for job advancement in the fast-changing digital economy.
Great Learning is an online learning platform dedicated to developing skilled professionals. The platform offers over 20 professional courses developed in partnership with leading universities, such as the Massachusetts Institute of Technology (MIT), Stanford, the University of Texas at Austin, and many others. Additionally, Great Learning Academy provides free access to 500+ courses on various topics with 1,000+ hours of content.
Great Learning’s professional courses offer academic quality, learning support, and peer involvement, designed in partnership with top universities.
What Unique Features Make Great Learning Stand Out?
Great Learning has developed a unique mentored learning model to ensure its students’ effective personalized learning and collaborative learner experience. The mentored learning model combines four elements of effective learning.
- Studying in micro interactive classes of 15 to 20 people
- Teaching theoretical concepts through hands-on assignment
- Peer learning
- Mentorship from industry practitioners
Each micro class groups students with similar work experiences and backgrounds, allowing mentors to tailor their teaching format to the group’s needs. And since you’ll be learning with peers of similar backgrounds, you also get the chance to share relevant experiences.
Great Learning has a community of over 1,500 mentors, all of whom are industry experts and data scientists from top tech companies like Amazon, Cognizant, Google, Hewlett-Packard, IBM, Microsoft, and Yahoo!. They walk you through the course, share their practical experiences, and provide support and guidance throughout your transition journey.
A program manager is also available for any academic and non-academic queries you may have.
Focus on Outcomes
The Great Learning e-learning platform has over four million users from more than 170 countries. According to the statistics published on the Great Learning website, the platform has a 93 percent course completion rate. Around 66 percent of alumni successfully made a career transition, and 50 percent observed a salary raise upon course completion.
Great Learning also offers career services to support learners every step of their career transition journey. Students have access to one-on-one career mentoring, resume and LinkedIn profile reviews, and various networking opportunities for alumni.
Partnership with World’s Top Universities
Great Learning partners with leading universities such as the Massachusetts Institute of Technology (MIT), Stanford, and the University of Texas at Austin. Learners who complete professional career-related Great Learning programs get a corresponding certificate of completion from one of the leading universities mentioned above.
What Can You Learn at Great Learning?
Great Learning offers a variety of courses designed to equip you with industry-relevant and in-demand skills in your chosen field. Its professional programs are developed in partnership with leading universities, combining the academic rigor, learning support, and peer engagement of a traditional course with the convenience of an online program.
Post Graduate Program in Data Science and Business Analytics by McCombs School of Business at the University of Texas at Austin
This six-month course aims to build your knowledge of the most popular analytics tools and technologies and develop your skills to address business problems using data. The program combines a thorough curriculum with a hands-on learning approach, covering the most extensively used tools and techniques in the business. Completion of the course merits a certificate from the University of Texas at Austin—a good credential to add to your resume.
Program fee: $3,800
Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications by McCombs School of Business at the University of Texas at Austin
In six months, learn to build Al and machine learning (ML) solutions integrated into tech infrastructure. Also, master advanced AI, ML, and deep learning techniques and their applications.
Don’t have any prior coding expertise? Not to worry, as the program will teach you the fundamentals of programming and some of the most popular tools and techniques in the business.
Program fee: $3,800
Post Graduate Program in Artificial Intelligence for Leaders by McCombs School of Business at the University of Texas at Austin
This four-month intensive online program is designed for non-tech professionals looking to learn the basics of AI to manage AI projects and leverage AI for better decision-making. A certificate from the University of Texas at Austin is awarded to those who finish the course.
Program fee: $2,950
This program will prepare you to deliver business solutions by transforming data into actionable insights. You’ll work with core data analysis tools like Python, Tableau, and SQL as well as delve into business statistics and exploratory analysis. To reinforce your learning, expect hands-on projects that will see you working alongside data experts.
Program fee: $2,200
In 12 weeks, learners master data analytics skills and better grasp learning theory and practical application of data science through live virtual sessions by MIT faculty. Upon successful fulfillment of requirements, a Certificate of Completion from MIT Professional Education is granted.
Program fee: $3,700
This program teaches you how to leverage data in making practical and effective decisions. This 12-week program, delivered by Ivy League MIT faculty and supported by one-on-one mentorship from accomplished data scientists, teaches you the most in-demand data science and machine learning skills.
Program fee: $2,100
Post-Graduate Program in Cloud Computing by McCombs School of Business at the University of Texas at Austin
This six-month program equips you with the skills you need to advance your career in cloud computing. You’ll have access to 100+ hours of online video content, 12 labs, and live weekend mentor sessions to reinforce your learnings from an industry perspective. The curriculum is created in partnership with industry experts, and a certificate from the University of Texas at Austin is granted upon completion.
Program fee: $3,500
Post Graduate Program in Cybersecurity by McCombs School of Business at the University of Texas at Austin
Learn to analyze attacks and design secure cybersecurity systems when you enroll in this program. The curriculum is designed for anyone willing to immerse themselves in the process of securing digital infrastructure. A certificate of completion from the University of Texas at Austin gives alumni additional prestige on top of industry-relevant skills learned in the course.
Program fee: $2,500
Free Online Courses Offered by Great Learning Academy
Want to learn the basics before committing to an intensive program? Great Learning Academy is an extension of Great Learning that provides free access to over 500 courses with 1,000+ hours of content in data science, machine learning, artificial intelligence, cloud computing, business, digital marketing, big data, and other topics.
Bonus: There is no limit to the number of free courses you can enroll in Great Learning Academy.
Advance Your Career with a Great Learning Professional Course
Great Learning professional online courses developed in partnership with leading universities combine the academic quality of formal education with the convenience of an online program. Completing any of these courses raises your career growth opportunities and allows you to earn a certificate of completion from a leading university.
What are you waiting for? Sign up for a Great Learning professional program and gain a competitive advantage in the tech job market.
About us: Career Karma is a platform designed to help job seekers find, research, and connect with job training programs to advance their careers. Learn about the CK publication.