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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


Program Name

University

Eligibility

No Code AI and Machine Learning: Building Data Science Solutions

MIT Professional Education

Open to professionals from technical and non-technical backgrounds. Requires fundamentals of mathematics and statistics (pre-work available). No programming or advanced math is required.

Data Science and Machine Learning: Making Data-Driven Decisions

MIT (IDSS)

Suitable for working professionals (early-career, senior managers, Data Scientists, Analysts) who want to apply DS/ML, and entrepreneurs. Academic or professional training in Applied Statistics/Mathematics is helpful but not mandatory.

Generative AI for Business with Microsoft Azure and OpenAI

Microsoft and Great Learning

Bachelor's degree with a minimum of 50% aggregate marks or equivalent.

e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science

Indian Institute of Technology (IIT) Bombay

Recognized 4-year undergraduate degree OR a recognized 3-year undergraduate degree with at least one year of work experience. Understanding of Mathematics and Statistics at the undergraduate level.

Agentic AI Certificate Program

Johns Hopkins University (JHU)

Basic knowledge of programming languages or technical concepts in mathematics, data, or related fields. Beginners should complete the Python prework module.

Executive Program in Artificial Intelligence and Machine Learning

McCombs School of Business, University of Texas at Austin

Suitable for 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

McCombs School of Business, University of Texas at Austin, and Great Lakes Executive Learning

Ideal for business leaders looking to leverage AI to create products and services and boost organizational growth. No programming experience required.

MS in Artificial Intelligence and Machine Learning

Walsh College

3- or 4-year bachelor’s degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university. Medium of instruction must be in English. No GRE/GMAT or English proficiency test scores required. *Note: Minimum 2.75 CGPA in 1st year is required for 2nd year on campus at Walsh College.*

Microsoft Accelerator Program in Data Science and Artificial Intelligence

Microsoft and Great Learning

Working professionals, graduates, and early/mid-career professionals looking to upskill in DS/AI. Open to both technical and non-technical backgrounds (no strict prerequisites).

Doctor of Business Administration in Artificial Intelligence and Machine Learning

Walsh College in collaboration with Great Lakes Executive Learning

3 or 4-year bachelor's degree or equivalent in any discipline from a UGC-recognized university, with English as the medium of instruction. No GRE/GMAT or English proficiency test score required.

Certificate in Generative AI

Indian Institute of Technology (IIT) Bombay

Bachelor’s degree (any discipline) from a recognized university with a minimum aggregate of 50 % (or equivalent CGPA).

Certificate in Leadership with AI

Indian Institute of Technology (IIT) Bombay

Bachelor’s degree (any discipline) from a recognized university with a minimum aggregate of 50% (or equivalent CGPA). Minimum of 3 years of experience with a fair understanding of IT and Systems basics.

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


Career Roles

Skills Required

Average Salary (USD)

Average Salary (INR)

AI Engineer

Python, TensorFlow, PyTorch, Neural Networks

$103,000–$130,000

6 to 14 lakhs per year

Machine Learning Scientist

Deep Learning, NLP, Data Modeling

$193k to $615k 

₹5.5 Lakhs to ₹9.2 Lakhs per year,

AI Product Manager

AI Strategy, Business Intelligence, Roadmapping

$140,000–$175,000

₹19.4L - ₹36.8L/yr

Chief AI Officer

Leadership, AI Governance, Innovation Management

$151,203

₹1-2.5 crore annually

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.