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  • Advanced Certificate in Digital Marketing and Communication

  • 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

    • Hurry! 665 people have already applied in the last 1 month
    • For enquiries call: Get Started

  • Introduction to Generative AI Course

  • Course Snapshot

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

    • Up-to-date Generative AI modules
    • Learn 10+ Generative AI tools, including a ChatGPT course
    • Upskill through real projects
    • Gen AI masterclasses by industry experts
    • upGrad Alumni Status

  • 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?

    Top Skills you Will Learn from our Generative AI Course Who Is This Program For? Job Opportunities Post our Generative AI Course Minimum Eligibility for the Generative AI course

  • Our curriculum covers in-demand industry relevant topics

    • Generative AI Models
    • Transformers
    • ChatGPT
    • Prompt Engineering
    • Product Development
    • Product Development
    • Deploy Web Apps with Flask

  • Our curriculum covers in-demand industry relevant topics

  • 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

  • CA Ashna Bharath Pillai

    Business & Tax Regulatory​

  • CA Ashna Bharath Pillai

    A small river named Duden flows by their place and supplies it with the necessary

  • CA Ashna Bharath Pillai

  • CA Ashna Bharath Pillai

  • CA Ashna Bharath Pillai

  • CA Ashna Bharath Pillai

  • CA Ashna Bharath Pillai

  • CA Ashna Bharath Pillai

  • 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.

Course II
Machine Learning - I Course II
Machine Learning - I Course II
Machine Learning - I Course II
Machine Learning - I Course II
Machine Learning - I Course II
Machine Learning - I Course II
Machine Learning - I Course II
Machine Learning - I

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:

    • Linear Regression
    • Linear Regression Assignment
    • Logistic Regression
    • Naive Bayes
    • Model Selection

  • 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:

  • 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

    Marketing Analytics

    Branding and Communication

  • 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

    PlayPlayPlay

  • 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

Support Career Job Courses Help 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.

Q&A forum for Generative AI Certification Course students

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

Receive personalized feedback on assignments and case studies

Industry Expert Guidance & Feedback

Get specialized feedback on projects/assignments

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

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.

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.

Ready to Start Your Professional Journey?

Our dedicated placement cell works directly with top firms across India and GCC countries to help you land high-paying roles upon completion.

Talk to Academic Counselor

Register Now

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