Great Learning Courses Review: Upskilling for the Future

In today's rapidly evolving professional landscape, continuous learning and upskilling are essential for career advancement and staying relevant. Great Learning, founded in 2013, aims to address this need by offering online, career-relevant programs from world-class universities. These programs cover a wide array of in-demand fields, including data science, artificial intelligence, machine learning, management, cloud computing, cyber security, and design thinking. Great Learning courses are designed for both career changers and individuals seeking to enhance their existing skill sets. To gain admission into these programs, applicants are required to submit an online application.

Overview of Great Learning

Great Learning offers a diverse range of programs designed to equip professionals with the skills necessary to thrive in today's competitive job market. The platform collaborates with reputable universities to provide courses that blend academic rigor with practical application. These courses are tailored to meet the needs of professionals looking to upskill or switch careers, providing them with the knowledge and expertise to excel in their chosen fields.

The core programs at Great Learning are delivered online, combining recorded videos with live, instructor-led sessions typically held on weekends. This format offers flexibility for working professionals to balance their studies with their existing commitments. Additionally, Great Learning Academy provides free, self-learning modules that can be completed at the learner's own pace, making education accessible to a broader audience.

Comprehensive Course Offerings

Great Learning provides a variety of courses to cater to different learning needs and career goals. These include:

Postgraduate Programs: Designed for professionals and students with tech-related bachelor's degrees, these programs cover advanced topics in data science, machine learning, and cloud computing.
Free Certification Courses: These courses cover foundational skills in areas such as cyber security, programming, and design, providing newcomers with a solid base of knowledge.
Advanced Certification Courses: Focused on popular tech fields like software engineering, these courses help professionals deepen their expertise and stay competitive.
Master of Science in Information Science: Delivered in partnership with the University of Arizona, this program offers a specialization in machine learning for those seeking advanced academic credentials.

Program Structure and Learning Experience

The structure of Great Learning programs is designed to provide a comprehensive and engaging learning experience. Key features include:

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Fully Online Format: Offers maximum flexibility, allowing learners to access course materials at their own pace and convenience.
Engaging Video Content: Breaks down complex concepts into easy-to-understand segments, making advanced topics approachable for all learners.
Hands-On Learning: Incorporates interactive notebooks like Jupyter for practical programming exercises, bridging the gap between theory and practice.
Structured Schedule: Provides weekly goals, graded quizzes, and clear deadlines to keep learners on track and ensure consistent progress.
Real-World Projects: Concludes each module with a project focused on solving practical business problems, building confidence and real-world readiness.
Strong Support and Mentorship: Offers weekly live mentored learning sessions for clarification and guidance, along with a dedicated program management team for administrative support.

Student Success Stories and Testimonials

Numerous students have shared their positive experiences with Great Learning, highlighting the platform's effectiveness in enhancing their skills and advancing their careers.

Naveen Kumar Raghunandan Reddy described the Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications from the University of Texas at Austin’s McCombs School of Business as a transformative experience. He praised the comprehensive curriculum, real-world projects, and exceptional career support.
Varun Krishnamurthy, a Senior Architect, found the PG course on AI/ML: Business Applications to be one of the best career investments he has ever made. He noted the structured journey from fundamentals to advanced topics and the immediate real-world impact of the course.
Bombiti Nzanza appreciated the flexibility and rigor of the Postgraduate Program in Artificial Intelligence & Machine Learning, which allowed him to balance a demanding schedule with his studies.
Larissa Terranova, an AI Ethics & Human-AI Collaboration Specialist, expressed gratitude for the Certificate Program in Applied Generative AI by Johns Hopkins University, which empowered her to build AI-powered applications despite coming from a non-technical background.
Alexis Andrade Monteiro, a Data Scientist, found Great Learning's program to strike the right balance between theoretical foundation and applied learning, with a focus on building real-world problem-solving abilities.
Hemant Chilakapati described his experience in the Applied Data Science program as exceptional, highlighting the well-balanced mix of theory and real-world application.
Imad Qureshi praised the high quality of the UT Austin Post Graduate Program in AI and ML, noting its comprehensive design and coverage of advanced topics.

These testimonials underscore Great Learning's ability to provide valuable and impactful learning experiences that lead to tangible career benefits.

Impact on Career Advancement

Great Learning courses are designed to provide students with an excellent learning experience, which is proven by the types of companies graduates go on to work for. Top companies like Microsoft, Google, Samsung, Dell, and Verizon have all hired Great Learning alumni. The comprehensive curriculum and hands-on projects provided a strong foundation in Data Science. The learning experience at Great Learning was genuinely transformative.

Many graduates have reported significant career advancements after completing Great Learning programs. For example, one graduate secured a position at Elsevier as an Associate Data Specialist after completing the Post Graduate Program in Data Science. The program significantly enhanced their skills and prepared them for the job market. Another student, after completing a Data Analytics program with Great Learning, expressed gratitude for the invaluable support provided through resume reviews and one-on-one mentoring for placements, leading to a successful career transition.

Admissions Process and Requirements

The admission process at Great Learning varies depending on the specific program and provider. However, the general steps include:

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Online Application: Complete an online application form with personal information, educational background, and work experience.
Educational and Work Experience: Provide details of your educational qualifications and work history.
Supporting Documents: Submit documents such as a resume, letters of recommendation, and transcripts, if required.
Interview: Participate in an interview to assess your suitability for the program.

While Great Learning does not publicly release its acceptance rate, postgraduate courses can be competitive due to the requirement of a bachelor's degree in a related field and the submission of supporting documents. Some programs also require previous experience in math and statistics.

Preparing for Great Learning

To prepare for Great Learning programs, especially if you have limited tech experience, it is advisable to:

Learn Fundamental Skills: Acquire basic knowledge in the field you plan to study.
Gain Coding Knowledge: Develop basic coding skills, which can be beneficial for many programs.
Utilize Free Resources: Take advantage of the free courses offered by Great Learning Academy to cover foundational skills in coding, cyber security, and design.

Payment Options and Financial Aid

Tuition at Great Learning varies depending on the course, with popular programs costing between $2,100 and $3,900. Payment options include:

PayPal
Credit or Debit Card
Bank Transfer
Monthly Payment Plans: Available for courses offered in partnership with the University of Texas at Austin.
Corporate Sponsorship
Deferred Payment
Traditional Bank Loans

Unfortunately, Great Learning does not currently offer scholarships. However, prospective students are advised to contact the course program provider to inquire about upcoming scholarship opportunities.

Refund Policy

The refund policy at Great Learning varies depending on the course. Generally, students may 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 may incur a cancellation fee.

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Job Guarantee and Career Support

Great Learning does not offer a job guarantee. However, the platform provides career support to help students prepare for job opportunities. This support includes:

Resume Reviews: Assistance with creating a professional and effective resume.
Mock Interviews: Practice interviews to improve interviewing skills and build confidence.
Mentorship Sessions: Guidance and advice from industry experts.
Career Guidance Sessions: Tailored support to help students navigate the job market.

Addressing Common Concerns

While Great Learning has received positive feedback, it's important to address some common concerns:

No Job Guarantee: The absence of a job guarantee may be a concern for some students. However, the career support provided by Great Learning aims to enhance students' employability.
Cost: The tuition fees for some programs can be a barrier for some individuals. However, flexible payment plans and the potential for increased earning potential after completing the course can offset this cost.
Workload: Some programs require a significant time commitment, which may be challenging for working professionals. However, the flexible online format allows students to balance their studies with their existing responsibilities.

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