Planning to study Online PG Diploma & Certificate in Generative AI? Understand what to verify about the syllabus, prerequisites, delivery format and final qualification or certificate.
Get help with eligibility, university selection, fees, EMI options and application steps.
The Online PG Diploma & Certificate in Generative AI is designed to help learners understand, explore and master the rapidly growing world of Generative Artificial Intelligence. This future-focused programme introduces students to advanced AI technologies, Large Language Models (LLMs), prompt engineering, AI-powered automation, image generation, intelligent assistants and real-world AI applications.
Whether you are a student looking to build a future-ready career, a working professional aiming to upgrade your skills, an entrepreneur interested in business automation, or a technology enthusiast eager to explore AI, this programme provides an opportunity to develop practical knowledge and industry-relevant capabilities.
Learn how to transform ideas into intelligent solutions, improve productivity and prepare yourself for emerging opportunities in the AI-driven economy.
Develop the skills that modern businesses and technology-driven industries are actively exploring.
Are you curious about Artificial Intelligence? You don’t necessarily need to be an AI expert or an experienced programmer to begin exploring this field.
Generative AI is creating new possibilities across technology, education, healthcare, finance, marketing, media and business operations.
By developing relevant technical and practical skills, learners can explore career pathways such as:
The curriculum is designed to introduce learners to the essential concepts, tools and applications of Generative AI through a structured learning journey.
| Core Curriculum – Module-wise Subjects | |
|---|---|
| Module 1: Introduction to Artificial Intelligence | Module 2: Fundamentals of Generative AI |
|
|
| Module 3: Prompt Engineering & AI Communication | Module 4: Large Language Models (LLMs) |
|
|
| Module 5: AI Tools & Applications | Module 6: Python Programming for AI |
|
|
| Module 7: AI Chatbots & Intelligent Assistants | Module 8: Retrieval-Augmented Generation (RAG) |
|
|
| Module 9: AI Automation & Business Applications | Module 10: Ethics, Security & Responsible AI |
|
|
| Module 11: Practical Projects & Capstone | |
| |
Artificial Intelligence is changing how people work, learn, create and solve problems. Developing AI knowledge can help you become more adaptable in a technology-driven professional environment.
Our proposed learning approach focuses on making Generative AI understandable, engaging and practically relevant.
Participate in instructor-led sessions and interact with faculty members, where offered.
Revisit learning materials and recorded sessions, subject to programme access.
Understand how different AI tools work through demonstrations.
Apply your knowledge through structured exercises.
Explore how organisations use AI to solve real-world challenges.
Work on practical AI-related projects to demonstrate your understanding.
Get academic guidance and support according to the programme schedule.
Access digital notes, reading materials and supplementary resources as provided by the institution.
Demonstrate your learning through a final project, where included in the curriculum.
The examination and evaluation structure is designed to assess both theoretical understanding and practical knowledge.
| Assessment Component | What It Includes |
|---|---|
| 1. Internal Assessment | • Online assignments • Subject-based quizzes • Practical exercises • Case study analysis • Class participation, where applicable |
| 2. Term-End Examination | • Online or institution-prescribed examinations • Objective-type questions • Descriptive questions • Conceptual and application-based questions |
| 3. Practical Assessment | • AI tool-based exercises • Programming assignments • Project submissions • Practical demonstrations, where applicable |
| 4. Final Project / Capstone | • Project planning and development • Practical implementation • Project documentation • Final presentation or evaluation |
Choosing the right educational institution is an important step towards building a credible academic and professional profile.
Before enrolling, students should carefully verify the programme’s academic recognition and regulatory status.
Invest in skills that can help you prepare for tomorrow’s professional opportunities. The programme fee structure should be transparent and clearly communicated before admission.
| Particulars | Details |
|---|---|
| Programme Name | Online PG Diploma & Certificate in Generative AI |
| Programme Duration | As specified by the institution |
| Registration Fee | ₹[Insert Amount] |
| Tuition Fee | ₹[Insert Amount] |
| Examination Fee | ₹[Insert Amount] |
| Study Material Fee | ₹[Insert Amount, if applicable] |
| Total Programme Fee | ₹[Insert Total Amount] |
| Payment Options | [Full Payment / Semester-Wise / Instalment Options] |
| Scholarship | [Applicable Scholarship Details, if available] |
• Clear information about all applicable charges.
• Availability of instalment facilities, if offered.
• Details of additional examination or administrative fees.
• Applicable taxes and other charges, if any.
• Refund and cancellation terms.
• Payment deadlines and admission confirmation requirements.
Learning AI is just the beginning. Building the confidence to apply your knowledge in the professional world is equally important.
The programme may offer career development and placement assistance services, subject to the institution’s actual facilities.
Students can strengthen their professional profiles by developing practical projects such as AI chatbots, automated workflows, content-generation systems and LLM-based applications. These projects can help demonstrate practical knowledge to potential employers.
Starting your Generative AI learning journey can be simple and convenient. Follow these steps to apply:
Applicants may be required to submit the following documents during the admission process:
Students are encouraged to understand the applicable fee refund and cancellation policy before completing their admission. The University Grants Commission (UGC) has issued fee refund guidelines for eligible higher education institutions. Applicable refund rules depend on the relevant UGC notification, academic session, admission circumstances and institutional regulations.
| Refund policy | Students should review the institution’s official admission cancellation and refund policy. |
|---|---|
| Refund eligibility | Refund eligibility may depend on the date of withdrawal or cancellation. |
| Refund percentage | The applicable refund percentage and processing conditions should follow the relevant UGC guidelines. |
| Deductions | Refunds may be subject to permitted deductions and applicable regulatory provisions. |
| Withdrawal request | Students should submit their cancellation or withdrawal requests through the institution’s prescribed process. |
| Timelines | Refund timelines should be communicated according to the applicable rules. |
| Non-refundable charges | Any non-refundable charges must be disclosed clearly and must comply with applicable regulations. |
No reviews yet. Be the first to share your experience!
Compare the same details across providers: course content, faculty or trainer access, learning format, assessment, student support, recognition where relevant and full fees. Use current documentation and ask for written clarification if details conflict.
A career change is easier to plan when you know which skills the course actually teaches. Review the prerequisites and practical work in Online PG Diploma & Certificate in Generative AI, then compare them with job descriptions for the roles you are considering.
Assessment may include exams, projects, assignments, practical exercises or a final evaluation, depending on the provider. Ask how Online PG Diploma & Certificate in Generative AI is assessed, whether attendance is compulsory and what conditions apply to completion or certification.
Value is more than the headline fee. Compare the depth of the curriculum, trainer access, practical projects, support, assessment and the credibility of the resulting qualification or certificate, where applicable.
Build a shortlist by checking the course content, prerequisites, format, time commitment, full cost and outcomes against your own priorities. Verify any claims about rankings, recognition or placement support from reliable current sources.
The topics can differ between providers. Read the current syllabus for Online PG Diploma & Certificate in Generative AI and look for the core modules, practical work, assessments and any elective choices. Treat a general course description as a starting point, not a substitute for the full curriculum.
It may be possible, but the timetable matters. Before enrolling in Online PG Diploma & Certificate in Generative AI, check live-session timings, attendance rules, assignment deadlines and exam dates against your work and personal commitments.
Ask for an itemised cost breakdown for Online PG Diploma & Certificate in Generative AI, including tuition, registration, examination, software, materials and any other compulsory charges. Confirm instalment dates, cancellation rules and refund terms before paying.
Recognition depends on the provider, qualification and intended use. Check relevant official regulator or accreditor records and, if needed, confirm acceptance with the employer, licensing body or institution where you plan to use the qualification.
Some courses welcome beginners, while others assume prior study or professional experience. Check the prerequisite list for Online PG Diploma & Certificate in Generative AI and ask the provider whether preparatory learning is recommended if you are new to the subject.
New to CareerHike? Create an account
First time signing in? Use Forgot password? below to set your password.