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Eligibility for AI Courses
- Educational qualification: Bachelor’s degree in any discipline (STEM preferred but not mandatory).
- Academic Performance: Minimum 50–60% aggregate marks in graduation or equivalent qualification.
- For non-coding courses: No programming experience required, open to learners from diverse fields.
- Prerequisites: Basic understanding of Python, algorithms, or data structures is beneficial but not mandatory.
- Mathematical foundation: Basic math and logical reasoning skills required advanced math not needed for non-coding track
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Eligibility Criteria of AI Courses at Great Learning
Check out the detailed eligibility requirements for the different AI courses offered by Great Learning.
Learning Outcomes
- Understand the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML)
- Gain knowledge of various ML algorithms and their applications
- Learn to build and train ML models using popular libraries and frameworks
- Acquire skills to pre-process and analyse data for ML tasks
- Develop the ability to evaluate ML models and make data-driven decisions
- Demonstrate proficiency in implementing AI and ML techniques in real-world scenarios
Artificial Intelligence (AI) Courses Eligibility Criteria
No Code AI and Machine Learning: Building Data Science Solutions
University → MIT Professional Education
Eligibility →
- Open to professionals from technical and non-technical backgrounds
- Fundamentals of mathematics and statistics (If you do not possess either (or both) of them, Great Learning provides pre-work to help you grasp these fundamentals.)
- No programming or advanced mathematics knowledge is required. Familiarity with basic statistics is recommended to get the most out of the program.
Data Science and Machine Learning: Making Data-Driven Decisions
University → MIT (IDSS)
Eligibility →
- Working professionals like early-career professionals or senior managers (IT Managers, Business Intelligence Analysts, Data Science Managers, Management Consultants, and Business Managers) who want to apply Data Science and Machine Learning techniques in their firms.
- Working professionals like Data Scientists, Data Analysts, or Business Analysts who wish to turn vast volumes of data into valuable insights
- Entrepreneurs interested in innovation with the assistance of Data Science and Machine Learning techniques
- Those with academic or professional training in Applied Statistics or Mathematics will find the program easier to learn. However, participants lacking this background will need to put in extra effort, and Great Learning will offer the required assistance.
Generative AI for Business with Microsoft Azure and OpenAI
University → Microsoft and Great Learning
Eligibility →
- Applicants should have a Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science
University → Indian Institute of Technology (IIT) Bombay
Eligibility →
- The minimum requirement to apply for ePGD is either a recognized 4-year undergraduate degree or a recognized 3-year undergraduate degree with at least one year of work experience. Postgraduate and doctoral students can also apply.
- An understanding of Mathematics and Statistics at the undergraduate level.
Agentic AI Certificate Program
University → Johns Hopkins University (JHU)
Eligibility →
The ideal candidate should:
- Have basic knowledge of programming languages or technical concepts in mathematics, data, or related fields.
- For beginners, complete the Python prework module to strengthen foundational skills before starting the main course.
Executive Program in Artificial Intelligence and Machine Learning
University → McCombs School of Business, University of Texas at Austin
Eligibility → The program is suitable for professionals at mid to senior levels, implementation leaders, aspirants building a technical career in AI, and advanced learners in AI/ML.
Post Graduate Program in Artificial Intelligence for Leaders
University → McCombs School of Business, University of Texas at Austin, and Great Lakes Executive Learning
Eligibility →
This program is ideal for business leaders looking to leverage AI to create products and services and boost organizational growth. You can join the program even if you do not have any programming experience.
MS in Artificial Intelligence and Machine Learning
University → Walsh College
Eligibility →
- Applicants must hold a 3- or 4-year bachelor’s degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution. The medium of instruction must be in English.
- No GRE/GMAT or any English proficiency test scores are required.
Note: Candidates should score a minimum of 2.75 CGPA in the 1st year to be eligible for 2nd year on campus at Walsh College.
Microsoft Accelerator Program in Data Science and Artificial Intelligence
University → Microsoft and Great Learning
Eligibility →
- Working professionals aiming to move into Data Science & AI
- Graduates and early-career professionals looking for job-ready skills
- Mid-career professionals wanting to upskill for AI-driven leadership roles
Doctor of Business Administration in Artificial Intelligence and Machine Learning
University → Walsh College in collaboration with Great Lakes Executive Learning
Eligibility →
- Applicants must hold a 3 or 4-year bachelor's degree or equivalent in any discipline from a UGC-recognized university or institution.
The medium of instruction in the bachelor's degree must be in English.
- No GRE/GMAT scores are required.
- No English proficiency test score is required.
University → Indian Institute of Technology (IIT) Bombay
Eligibility → Bachelor’s degree (any discipline) from a recognized university with a minimum aggregate of 50 % (or equivalent CGPA)
Certificate in Leadership with AI
University → Indian Institute of Technology (IIT) Bombay
Eligibility →
- Bachelor’s degree (any discipline) from a recognized university with a minimum aggregate of 50% (or equivalent CGPA)
- A minimum of 3 years of experience with a fair understanding of the basics of Information Technology and Systems.
Career in Artificial Intelligence
Why should I pursue a career in Artificial Intelligence?
AI is reshaping industries worldwide. The demand for professionals skilled in AI has increased across domains such as Automation, Robotics, Finance, Healthcare, and customer experience. Understanding the eligibility for AI courses is essential for aspiring professionals to enter this rapidly growing field.
Artificial Intelligence Career Salary
Who is eligible for AI Courses?
1. Non-Technical Professionals
Business analysts, consultants, marketers, and healthcare or education professionals can learn AI to enhance decision-making and apply intelligent solutions in their roles.
2. Software Engineers and Developers
Full-stack developers, backend engineers, and system architects can upskill in Machine Learning, deep learning, and AI system deployment to build advanced AI-powered applications.
3. Data Analysts and Business Intelligence Professionals
Data analysts and BI specialists can transition into AI/ML roles by leveraging their analytical skills to create, deploy, and optimize Machine Learning models, meeting the prerequisites for AI and Machine Learning.
4. Business and Management Professionals
Strategists, operations managers, and team leads can apply AI knowledge to drive business transformation, improve processes, and make data-driven strategic decisions.
Explore More About AI Course
AI Course Fees
Understand tuition costs, available financial aid, and flexible payment options for AI programs.
AI Course Syllabus
Review core topics such as Machine Learning, Deep Learning, Neural Networks, and AI Ethics.
Certificate Courses in Artificial Intelligence
Explore industry-recognized AI certificates and understand how they enhance your career prospects.
AI Course with Placement Opportunities
Discover programs that offer career support, mentorship, and career advancement opportunities.
Frequently asked questions
Can anyone from any stream enroll in an Artificial Intelligence course?
Yes, many AI courses accept candidates from any discipline. But for coding-intensive programs, STEM backgrounds are preferred
Is mathematics mandatory as a prerequisite for AI courses?
Foundational understanding of mathematics and logical reasoning is required (advanced math is not required for non-coding tracks).
What qualifications do I need to be eligible for an Artificial Intelligence course?
A bachelor’s degree or equivalent qualification with sufficient aggregate marks is usually needed; diploma or certificate courses may accept 12th pass candidates.
Do Artificial Intelligence course requirements differ for technical and non-technical students?
Yes, technical students may need programming skills; non-technical courses often have relaxed prerequisites and focus on conceptual understanding.
How much prior coding knowledge is required for an AI and ML course?
Basic Python knowledge or a willingness to learn programming during the course is commonly expected for technical AI courses.
Can I pursue an Artificial Intelligence course after 12th grade without a science background?
Yes, diploma and certificate-level AI courses often accept students from any stream, but courses requiring math and science are limited to specific streams.
Are there foundation courses available if I don’t meet the prerequisites for Artificial Intelligence courses?
Great Learning Academy offers many foundation courses to help beginners build skills for AI. Their Pro subscription at just ₹999 provides access to 35+ courses, making it affordable and easy to prepare for advanced AI programs.
Are there part-time or online AI courses suitable for working professionals?
Yes, there are many part-time and online AI courses suitable for working professionals. Most of these courses are online and flexible, allowing learners to balance their studies with work commitments effectively. For example, this Artificial Intelligence Course and AI for managers by Texas McCombs.
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