Programme details checked: 29 September 2026. Choose a credential around the work you want to do. A course-completion certificate shows that you completed a programme; an exam-based certification assesses a defined syllabus. Neither guarantees a job.

For practical everyday AI: Google AI Professional Certificate

Google’s India programme page lists seven courses covering AI fundamentals, planning, research, communication, content creation, data analysis and app building. It includes more than 20 hands-on activities and requires no previous AI experience. It is a useful option to investigate if your first goal is applying AI to study or office work rather than training machine-learning models.

Cost: Google’s India page currently lists US$49 per month. Confirm the checkout price, taxes and billing currency on your chosen learning platform before enrolling. A free enrolment or trial message does not necessarily mean the assessed certificate is free. Review subscription renewal and cancellation terms.

View Google’s official India programme details →

For foundational cloud AI knowledge: AWS Certified AI Practitioner

AWS describes this as a foundational certification in AI, machine learning and generative-AI concepts and AWS use cases. The published exam overview lists 65 questions, 90 minutes and a US$100 base exam fee. Local currency pricing and applicable charges should be checked at booking.

AWS recommends cloud fundamentals first if you are new to IT and AWS. The credential is valid for three years under the current rules. It is not proof that you can independently build production ML systems.

Check AWS eligibility guidance, exam preparation and current pricing →

Pick the path that matches your next step

  • I want to use AI confidently: compare practical courses and try a small workplace or study project.
  • I want cloud-related roles: read relevant job descriptions, then compare their required skills with the AWS exam syllabus.
  • I want to become an ML engineer: prioritise Python, data handling, statistics, evaluation and projects alongside any certificate.

Before paying, answer these five questions

  1. What skill should I be able to demonstrate when I finish?
  2. Are there prerequisites I still need to learn?
  3. What is the total cost, including subscriptions, exams or retakes?
  4. Is the credential based on course completion or a separate assessment?
  5. Does it appear in the requirements of roles I actually want?

Turn learning into proof

Pair your chosen course with a small project and a short explanation of how you checked the result. Keep a record of limitations and mistakes. Spend on a credential when you understand why you need it, rather than collecting badges because a social post promises a high salary. The links here are official resources, not a claim that MVR provides these qualifications.

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