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Programs available | Online, Part-time |
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With more than 9.2 million learners in over 170 countries, Great Learning is a leading global EdTech company for professional and higher education, offering industry-relevant programs across data, management, and technology domains. These programs are developed in collaboration with The University of Texas at Austin, MIT Professional Education,...
Is Great Learning legit? According to the 865 Great Learning reviews on Career Karma, the school holds a rating of 4.7 out of five.
MIT No Code AI & Machine learning by Great Learning
Thanks for the feedback and the 5 star rating, @David.
Data Science and Business Analytics Review
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"Happy Learning" what a nice greeting is. The team did more, they assisted and accomplished it.
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According to the official website, 66 percent of Great Learning alumni have successful career transitions. Furthermore, there is an average salary increase of 50 percent for alumni. While there is no official job placement rate available to the public, Great Learning grads go on to work at top companies such as Microsoft, Amazon, Google, Morgan Stanley, and Samsung.
Through the Great Learning website, you can see the journey that career switchers have undergone and how graduates have been able to transition into senior and better-paying roles at their current company.
Graduates have lifetime access to a network of more than five million Great Learning alumni, as well as access to other great learning opportunities. Furthermore, Great Learning has a highly rated mentorship program, with an average mentor rating of 4.7 out of five.
Great Learning offers a wide range of excellent courses to choose from. The most popular programs offered by Great Learning are Data Science and Business Analytics, Artificial Intelligence and Machine Learning, Applied Data Science, Data Science, and Machine Learning, Software Engineering, Cloud Computing, and Design Thinking.
These various courses offer a wide range of education and technical skills training. Some of the programs are advanced certification courses, while others are postgraduate programs that require applicants to hold a bachelor’s degree. If you are unsure of which course is for you, Great Learning course reviews are an excellent resource to help you decide.
For example, Great Learning cloud computing reviews praise the course content and live mentor sessions. One reviewer wrote that “the course was well structured, giving both theory and practical knowledge.”
No matter which course you choose, the Great Learning curriculum has been crafted and tested to ensure you leave the program with the skills you need to launch a rewarding new career. The core curriculum will typically include foundational modules, technical skills training, hands-on projects, and a capstone project.
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This is a specially designed program with the objective of helping you master Data Science and Machine Learning and get Microsoft Azure Certified. In this program, you will have the opportunity to get mentored by Microsoft Certified Trainers, through a structured curriculum that will provide you the necessary skills and techniques required to crack the certification. You will be provided with access to interactive learning material, practice labs, question papers from previous exams, and learning support to prepare you for Azure DP-100 certification. Finally, this program is built around the fundamental learning principle of ‘learning by doing’ and aims to build a meaningfully practical skill set with hands-on case studies and prepare you for the Microsoft Azure DP-100 Certification.
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Gain expertise in generative AI principles, leveraging its problem-solving capabilities, effective use of Microsoft Azure OpenAI, harnessing Prompt Engineering for business use-cases and fine-tuning Large Language Models to achieve desired outputs.
Most of the courses at Great Learning include fundamentals as part of their curriculum. For example, the data science postgraduate course includes an optional programming bootcamp that covers core Python practices. The Applied Data Science Program, offered through MIT, has a two-week module that covers foundational data science topics.
Learners can also take advantage of numerous free learning resources through Great Learning Academy. These prep courses are ideal for newcomers and tech enthusiasts who want to learn foundational skills or brush up on subjects they are weak in.
These free Great Learning courses include Introduction to Machine Learning, Introduction to Cyber Security, and Cloud Computing Foundations. Furthermore, students will have lifetime access to these programs and can complete them on their own time.
There are several types of Great Learning courses available to learners. Professionals looking to enhance their skills or students with a tech-related bachelor’s degree can apply for postgraduate courses in areas like data science, machine learning, and cloud computing.
There are numerous Great Learning free certification courses available that cover foundational skills in various topics, from cyber security to programming to design. There are also advanced certification courses in popular tech fields like software engineering. Finally, there is a Master of Science in Information Science with a specialization in machine learning, which is delivered by the University of Arizona.
Great Learning programs are all offered online. The core programs are offered as a blend of recorded videos and live instructor-led streams that typically take place on weekends. The free courses offered via Great Learning Academy are self-learning modules that can be completed within any timeframe.
There are no official workshops offered by Great Learning, but learners can access Great Learning Live. Through Great Learning Live, students can join and interact with industry experts in workshop-like environments.
This opportunity allows students to watch back past videos, or watch live videos as they are being streamed. Topics covered are typically related to working in the industry and boosting your career. These learning sessions are ideal for professionals already in the industry.
The admission process at Great Learning varies depending on which program and provider you choose. No matter which track you choose, you will need to complete an online application form. Applicants may be required to complete an interview, meet certain educational or work requirements, and provide documentation such as a resume, letters of recommendation, or transcripts.
If you plan on attending Great Learning and have no previous tech experience, it is a good idea to learn fundamental skills in the field you are studying in. Having basic coding knowledge will also be beneficial for all applicants. Great Learning Academy has numerous free courses that cover foundational skills, from coding to cyber security to design.
If you want to apply to Great Learning, you need to complete an online application form. This is generally a quick process and only requires applicants to fill out personal information. You may be required to provide an educational and work experience history too. Depending on your program of choice, you may need to partake in an interview before you’re accepted.
Researching typical interview questions is a great way to prepare for a Great Learning interview. You should expect to be asked common behavioral questions about your passion for learning and any transferable skills you have. Some of the most common questions you can expect during a Great Learning interview include:
Great Learning does not publicly release its acceptance rate. The postgraduate courses can be tough to get into because learners are required to have completed a bachelor’s degree in a related field and are required to provide documents such as letters of recommendation and a resume.
Furthermore, some of the programs require previous experience in fields such as math and statistics. Not all of the programs at Great Learning are aimed at beginners. Instead, many are geared toward professionals looking to upskill and career switch. It can be challenging to get accepted into certain programs if you don't have the right background.
You can get accepted into Great Learning by completing an application form and meeting all of the course requirements. Furthermore, you must be able to afford the tuition costs or meet with a financial advisor to figure out a realistic payment plan.
Some programs at Great Learning are hard to get into, such as the advanced certificate and postgraduate courses. These programs have strict admission requirements and require students to have previous experience and education in their subject of choice. On the other hand, the free certificate courses offered by Great Learning Academy can be accessed by anyone and have no limitations for enrollment.
Tuition at Great Learning varies depending on which course you take. The most popular programs at Great Learning cost between $2,100 and $3,900. Great Learning course fees can be paid via PayPal, credit or debit card, or bank transfer, depending on your course provider.
Most of the courses offered by Great Learning have flexible payment plans. The courses offered in partnership with the University of Texas at Austin allow you to set up a monthly payment plan. Furthermore, these programs offer a discount to students who pay their fees upfront.
Other payment plans include corporate sponsorship, deferred payment, and traditional bank loans. Students can reach out to a program advisor or ask about payment options during the interview process.
Unfortunately for prospective students, there are no scholarships available at Great Learning. Scholarships are typically offered to students with low income or an exceptional educational record. Applicants are advised to contact the course program provider to ask about upcoming scholarship opportunities.
Only some of the courses at Great Learning provide information about a refund policy. For the most part, students will receive a full refund if they submit a dropout request within seven days of enrollment and 42 days before the program starts. Requests submitted after this time period may incur a cancellation fee.
There is no job guarantee for students who graduate from Great Learning. However, there are excellent testimonials on the Great Learning website from graduates who were successful in finding employment or earning promotions at their current job. If you enroll in a Great Learning course and have a different experience, you can help other prospective students by writing your own Great Learning review.
It is important to note that Great Learning courses are mainly aimed at professionals looking to upskill. While the programs do have good career guidance, most students who enroll at Great Learning already have a job.
According to the Great Learning website, graduates receive an average salary increase of 50 percent. There are no exact salary figures available for graduates, but the average salary increase is an impressive figure and bodes well for professionals looking to take advantage of career opportunities.
Great Learning courses provide students with an excellent learning experience, which is proven by the type of companies graduates go on to work for. Top companies like Microsoft, Google, Samsung, Dell, and Verizon have all hired Great Learning alumni. Today, over 1,300 companies employ graduates of Great Learning.
Answers to commonly asked questions
Great Learning has over students and graduates as of 2024. This number will only continue to grow as more and more students take advantage of the courses offered here.
Great Learning offers several courses in different tech subjects, including: DP-100 - Microsoft Azure Data Scientist Associate Certification Training Program, Generative AI for Business with Microsoft Azure OpenAI.
Great Learning currently has Online and Part-time types of programs available to new students.
This school offers a variety of different financing options, including: Upfront Payments, Loan Financing. With these payment methods, nearly anyone can attend Great Learning.
Great Learning is an online program. Check out its student reviews to figure out if its the right program for you.
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