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Advanced Generative AI Certification Course

Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.

No Cost EMI

Start Date

Starts at Rs. 6,458

Duration

Hrs

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Choose Your Perfect Course

Advanced Generative AI Certification Course

Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.

No Cost EMI

Starts at Rs. 6,458

Start Date

Starts at Rs. 6,458

Duration

4 Months

Introduction to Generative AI Course

Course Snapshot

Hours of Learning
0 +
Industry Projects
0 +
GenAI Tools
0 +

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Unparalleled Curriculum

Best-in-class curriculum taught by leading academicians and industry experts. Now integrated with Generative AI course modules.

Key Highlights of Generative AI Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

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Start with a free course in AI today

Learn about various machine learning techniques, their applications and use cases. Furthermore, you will learn about deep learning and understand how it differs from machine learning.

Key Highlights of Generative AI Course

Earn valuable credentials and recognition

Make your portfolio stand apart with an Advanced Certification in Generative AI

Courses

Meet Our Expert Team

Learn more about the experts who will be supporting your learning
journey and helping you achieve your career goals
photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

World-Class Curriculum

Master Marketing with a World-Class Curriculum

Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months.

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

MICA Advanced Digital Marketing Course Highlights

Skills you'll acquire

Search Engine Marketing (SEM)

Social Media Marketing

Content Marketing

Content Marketing

Marketing Analytics

Branding and Communication

Content Marketing

Digital Marketing Course Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program’s alumni

32%

Avg. Salary Hike

86%

Learners Achieving their Outcomes

3500+

Successful Transitions

250+

Hiring Partners

Top Recruiters

Digital Marketing Course Eligibility & Admissions

How To Apply

The application journey is simple and straightforward, and can be completed in three easy steps.

Fill the Application Form

Fill out the application form on the upGrad portal

Get Shortlisted

You will receive a shortlisting email based on your profile

Block Your Seat

Secure your seat by paying the course fee

Industry Experts - Digital Marketing and Communications

Learn from Seasoned Industry Practitioners

Start with a free course in AI today

Learn about various machine learning techniques, their applications and use cases. Furthermore, you will learn about deep learning and understand how it differs from machine learning.

FAQ

Frequently Asked Questions

The application journey is simple and straightforward, and can be completed in three easy steps.

Dedicated Student Support Team
Dedicated Student Support Team

Get help anytime through the learning helpline.

Access the ‘Call Back’ option for urgent queries regarding the Generative AI program.

Get quick doubt resolution from peers, teaching assistants from the Gen AI training course

Receive personalized feedback on assignments and case studies

Get specialized feedback on projects/assignments

Attend regular live classes by experts to address doubts regarding Generative AI courses

The application journey is simple and straightforward, and can be completed in three easy steps.

Dedicated Student Support Team
Dedicated Student Support Team

Get help anytime through the learning helpline.

Access the ‘Call Back’ option for urgent queries regarding the Generative AI program.

Get quick doubt resolution from peers, teaching assistants from the Gen AI training course

Receive personalized feedback on assignments and case studies

Get specialized feedback on projects/assignments

Attend regular live classes by experts to address doubts regarding Generative AI courses

The application journey is simple and straightforward, and can be completed in three easy steps.

Dedicated Career Assistance

The application journey is simple and straightforward, and can be completed in three easy steps.

The application journey is simple and straightforward, and can be completed in three easy steps.

The application journey is simple and straightforward, and can be completed in three easy steps.

The application journey is simple and straightforward, and can be completed in three easy steps.

Who is this Generative AI program for?

This Generative AI program is designed for engineers, software professionals, and data experts looking to advance their skills in Generative AI and specialize in tools like ChatGPT.

If you’re new to programming, don’t worry! Our admissions team can help you map out a customized learning path to ensure you can successfully complete the certification in Generative AI.

Yes, a basic understanding of programming is required for this program, as it takes a hands-on, project-based learning approach. Whether you’ve learned programming in academics or professionally, this course builds on those fundamentals to teach advanced Generative AI concepts.
Yes, a basic understanding of programming is essential to building and deploying Generative AI applications, but programs by upGrad also offer optional Python bootcamps to help beginners get started.

While Generative AI can seem complex, structured learning programs by upGrad make it accessible through step-by-step guidance, hands-on projects, and personalized mentorship.

Dedicated Career Assistance

The application journey is simple and straightforward, and can be completed in three easy steps.

The application journey is simple and straightforward, and can be completed in three easy steps.

The application journey is simple and straightforward, and can be completed in three easy steps.

The application journey is simple and straightforward, and can be completed in three easy steps.

Unlock Your Future – Apply Now and Jumpstart Your Career!




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