Generative AI Course Fees and Duration
By upGrad
Updated on Jan 22, 2026 | 5 min read | 2.41K+ views
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- Best Generative AI Course Fees and Duration
- Generative AI Mastery Certificate for Data Analysis- upGrad
- Professional Certificate Programme in Data Science with Generative AI (IIIT-B)
- Executive Program in Generative AI for Leaders (IIIT Bangalore)
- DBA in Emerging Technologies with concentration in Gen AI from GGU
- How to Evaluate Value Beyond Fees and Duration
- Conclusion
Generative AI Course Fees and Duration can look confusing until you see real examples. A short Generative AI Certificate may take just a few weeks, while a Professional Certification from IIIT Bangalore & upGrad runs close to six months.
Executive Programs for Business Leaders stretch to five months, and Doctoral Programs in Generative AI span up to three years. Each step up in duration brings deeper learning, stronger credentials, and higher fees.
In this blog, you will understand how these courses compare and which timeline fits your goals best.
Enroll now in upGrad’s Generative AI & Agentic AI courses and build future-ready AI skills today.
Best Generative AI Course Fees and Duration
The following programs are designed to provide learners with comprehensive knowledge in Generative and Agentic AI, ranging from foundational certifications to doctoral degrees.
Enroll in the IIT Kharagpur Executive PG Certificate in Generative & Agentic AI course and gain hands-on skills in AI, prompt engineering, and intelligent agents today!
| Course Name | Duration | Fee |
| Generative AI Mastery Certificate for Data Analysis | 2 Months | ₹24,999 |
| Professional Certificate Programme in Data Science with Generative AI (IIIT-B) | 6 Months | ₹99,000 |
| Executive Program in Generative AI for Leaders (IIIT Bangalore) | 5 Months | ₹2,25,000 |
| DBA in Emerging Technologies - Generative AI (Golden Gate University) | 36 Months | ₹18,00,000 |
Next, we will break down each course in detail, so you understand fees, duration, curriculum, and outcomes before you choose the right generative AI program.
Generative AI Mastery Certificate for Data Analysis- upGrad
Generative AI Mastery Certificate for Data Analysis blends practical tools, automation workflows, and real-world projects to boost your ability to solve data problems with generative models.
Key Features
- Industry-aligned curriculum covering AI-powered analytics and data storytelling.
- Hands-on projects using Power BI, Copilot, Excel, and Azure OpenAI.
- 4-module structure designed for practical learning over the program duration.
- Collaboration with Microsoft for tools and certification relevance.
- Certification from upGrad, Microsoft, and NSDC adding credibility.
Unique Selling Points (USP)
- Focus on AI-enhanced data workflows that speed up analysis and reporting.
- Teaches no-code and low-code automation with real tools for professional use.
- Perfect for data analysts, BI professionals, and aspiring AI analysts.
- Designed for practical outcomes with certification and applied skills you can show to employers.
Also Read: What is Generative AI? Understanding Key Applications and Its Role in the Future of Work
Professional Certificate Programme in Data Science with Generative AI (IIIT-B)
This IIIT Bangalore programme blends core data science skills with modern generative AI workflows. It covers practical tools, real projects, and applied learning to help you build job-ready skills; all tied to understanding Generative AI Course Fees and Duration before you choose.
Key Features
- Comprehensive 24-week programme with live sessions and assignments.
- Integrated curriculum combining data science fundamentals and generative AI.
- Hands-on case studies that simulate real business problems.
- Capstone projects to build a professional portfolio.
- Tool training on Python, SQL, Power BI, OpenAI, LangChain, and MLflow.
- Mentorship and support throughout the course duration.
Unique Selling Points (USP)
- Designed by IIIT Bangalore experts for practical industry readiness.
- Focused on the tools and workflows most relevant to real-world generative AI jobs.
- Blends analytics and AI so you can apply skills immediately.
- Helps learners understand how fees relate to duration, content, and outcomes in a meaningful way.
Also Read: Generative AI Examples: Real-World Applications Explained
Executive Program in Generative AI for Leaders (IIIT Bangalore)
This executive programme blends leadership strategy with practical AI understanding so you can lead transformation in your organization while keeping Generative AI Course Fees and Duration aligned with real learning outcomes.
Key Features
- Designed for business leaders and managers looking to apply generative AI strategically to their organizations.
- 5-month online programme with live sessions, case studies, and practical projects.
- Dual certification from IIIT Bangalore and Microsoft upon completion.
- Capstone project to demonstrate real-world generative AI applications in business contexts.
- No coding requirement, enabling non-technical leaders to learn and apply insights.
- Immersion segments and hands-on workshops with practical leadership frameworks.
Unique Selling Points (USP)
- Focus on strategic decision-making with generative AI for business transformation.
- Balanced blend of theory and business applications, not just technical skills.
- Capstone and real examples make insights applicable from day one.
- Leader-centric curriculum designed around real management challenges with AI.
Also Read: Easiest Way to Learn Generative AI in 6 months
DBA in Emerging Technologies with concentration in Gen AI from GGU
This doctoral programme combines leadership, research, and advanced AI practice with a long-term view on real-world impact. It ties into Generative AI Course Fees and Duration by offering in-depth study over an extended timeframe, targeting senior professionals and leaders.
Key Features
- Doctorate-level programme focused on Generative AI and emerging technologies.
- 36-month structured duration designed for working professionals.
- Integration of AI research and business strategy within the curriculum.
- Global immersion opportunities in locations such as Singapore and San Francisco.
- Mentorship and dissertation guidance to build expertise in research and leadership.
- Online delivery with optional on-campus segments, offering flexible learning.
Unique Selling Points (USP)
- Designed for experienced professionals aiming to lead in AI-driven fields.
- Combines technical understanding with strategic leadership development.
- Dissertation and research focus build advanced analytical and problem-solving skills.
- Aligns academic depth with industry relevance, preparing graduates for high-level roles.
- Offers robust global perspectives through international exposure.
Also Read: The Ultimate Guide to Gen AI Tools for Businesses and Creators
How to Evaluate Value Beyond Fees and Duration
Looking only at Generative AI Course Fees and Duration can be misleading. Value matters more than raw numbers.
What to check before enrolling
- Depth of hands-on projects
- Real-world tools and frameworks
- Instructor experience
- Career outcomes
Also Read: Top Generative AI Use Cases: Applications and Examples
Cost vs outcome comparison
Factor |
Low-Fee Course |
High-Fee Course |
| Projects | Limited | Industry-focused |
| Mentorship | Minimal | Structured |
| Skill depth | Basic | Advanced |
Conclusion
Generative AI Course Fees and Duration vary based on learning level, program depth, and career goals. Short courses suit beginners, while longer programs offer advanced skills and leadership exposure. The right choice depends on how much time you can commit and the outcomes you expect. Focus on learning value, not just cost or length.
Frequently Asked Question (FAQs)
1. What are Generative AI Course Fees and Duration in India?
Generative AI courses in India vary widely based on level and format. Short beginner programs may last a few weeks, while advanced certifications and executive programmes can run for months or years. Fees depend on curriculum depth, projects, mentorship, and certification value.
2. How do Generative AI Course Fees and Length differ across course levels?
Generative AI Course Fees and Length increase with course depth. Beginner courses are shorter and affordable, while professional and executive programmes run longer and cost more due to live sessions, advanced topics, hands-on projects, and institutional certifications.
3. Are Generative AI Course Fees and Duration higher for certification programmes?
Generative AI Course Fees and Length are usually higher for certification programmes because they include structured learning paths, assessments, capstone projects, and recognised credentials. These programmes also offer guided learning, which extends duration and improves skill application.
4. How should learners compare Generative AI Course Fees and Length before enrolling?
When comparing Generative AI Course Fees and Duration, learners should review curriculum coverage, project depth, mentor access, learning format, and career relevance. Evaluating outcomes helps determine whether the time and cost investment matches long-term learning goals.
5. Do beginner generative AI courses cost less than advanced ones?
Yes. Beginner courses focus on foundational concepts and basic tools, so they are shorter and more affordable. Advanced programmes include real-world projects, deeper technical topics, and structured guidance, which increases both learning time and overall cost.
6. How long do professional generative AI programmes usually take?
Professional generative AI programmes typically run between four and nine months. They are designed for working professionals and balance theory with practical projects, live sessions, and case studies spread across a manageable schedule.
7. Are executive generative AI programmes longer in duration?
Executive programmes usually last longer because they combine technical understanding with leadership, strategy, and applied business projects. These courses often run for several months to over a year, allowing deeper exploration and real-world application.
8. What affects the fees of generative AI courses the most?
Fees are influenced by curriculum depth, live instruction, institutional partnerships, project complexity, and certification value. Programmes with mentorship, capstones, and industry tools usually cost more than self-paced introductory courses.
9. Can working professionals manage generative AI courses easily?
Yes. Many generative AI programmes are designed for working professionals with weekend or evening schedules. Flexible formats allow learners to balance work commitments while gaining practical skills through guided learning and projects.
10. Do generative AI courses include real-world projects?
Quality courses include hands-on projects based on real business problems. These projects help learners apply concepts, understand workflows, and build portfolios that demonstrate practical generative AI skills to employers.
11. Are non-technical learners suitable for generative AI programmes?
Many courses are designed for non-technical learners and focus on concepts, use cases, and tools rather than heavy coding. Business-focused and leadership programmes are especially suitable for professionals without a technical background.
12. How does learning format impact course duration?
Self-paced courses allow faster completion but require discipline. Live or blended programmes follow fixed schedules, which increases duration but provides structured guidance, interaction, and consistent learning progress.
13. Do generative AI courses offer certifications?
Most structured programmes offer certifications upon completion. Certifications add credibility, validate skills, and help learners stand out when applying for roles involving AI-driven tools and workflows.
14. Are installment or EMI options available for these courses?
Many providers offer flexible payment options such as EMIs or installments. This helps learners manage course fees more easily, especially for longer and higher-cost professional or executive programmes.
15. What tools are commonly covered in generative AI courses?
Courses often cover tools like Python, OpenAI APIs, LangChain, vector databases, cloud platforms, and analytics tools. Tool exposure helps learners apply generative AI concepts in real-world scenarios.
16. How do capstone projects affect course length?
Capstone projects extend course duration but add strong practical value. They require learners to apply skills end to end, improving understanding, confidence, and job readiness.
17. Are online generative AI courses shorter than offline ones?
Online courses are often shorter and more flexible. Offline programmes follow fixed academic schedules, which usually increases duration due to classroom sessions and institutional requirements.
18. How often are generative AI course curriculums updated?
Good programmes like those from upGrad update content regularly to reflect new tools, models, and industry practices. Frequent updates ensure learners stay aligned with current generative AI trends and applications.
19. Can short courses help in switching careers to AI?
Short courses help build basic understanding but may not be enough for a full career switch. Longer programmes with projects and mentorship provide stronger preparation for AI-related roles.
20. What is the best way to choose the right generative AI course?
The best course choice depends on your background, time availability, and career goals. Compare learning outcomes, project depth, and support rather than focusing only on fees or duration.
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