Generative AI Masters in Delhi

Extensive Program with 7 Courses View all

150+ Hours of Experiential Learning

5+ Projects and 50+ Hands-on Labs

Our Generative AI Course in Delhi is designed to provide a comprehensive understanding of generative models and their applications. This course covers the fundamental concepts, advanced techniques, and practical applications of generative AI, equipping students with the skills needed to create innovative AI-driven solutions.

As per ZipRecruiter, the average salary of a Generative AI Engineer is $115,864 per year in the USA

You Will Learn

Python, Statistics, EDA, Machine Learning, Natural Language Processing, Deep Learning, Generative AI, ChatGPT, Prompt Engineering, Generative AI, Large Language Models, RAG, Agentic AI, Multi-agent Systems and many more skills.

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Generative AI Course in Delhi Review

Our Masters Course Alumni work for amazing companies

Balasubramanya SP

Consultant, Deloitte US

I gained confidence to make a career leap to Data Science after this course

I had a wonderful learning experience with Edureka. Not only did I get exposed to Data Science, but I was also able to learn related technologies that helped me in my career. The course also gave me an edge over other candidates when I was looking for a job change and helped me ace my interviews. I am now planning to shift my career to Data Science and Edureka's course has given me the knowledge and confidence to make this career leap.

Gnana Sekhar Vangara

Technology Lead, WellsFargo.com

My career got a boost after learning Data Science from Edureka.

Edureka's Data science Masters program provided me with a very good mixture of theoretical and practical training. After completion of the course, I got to work on many POC'S and projects that led to a decent pay hike too. Edureka's training was very informative and practical and the assignments very useful. I can safely say that signing up for Edureka's Data Science training has been a career-changing decision.

Sravan Kumar Yelakanti

Big Data Engineer

I am very much impressed with the quality of the training material and the Trainer

Hi, My experience with edureka about Python course is that I am very much impressed with the quality of the training material and the Trainer as well. You get access to previously recorded sessions just after your signup. Also, they are very quick in response for any queries you have. Online recording of the course is very useful as you can go back and refer to it any time. You have access to course and materials for ever, which is really helpful and mainly 24/7 quality support.

Generative AI Course in Delhi Syllabus

Data Science with Python Certification Course

LIVE CLASS

Edureka’s Data Science with Python Certification Course, accredited by NASSCOM, is designed to help you master essential Python programming concepts for Data Science. You’ll gain expertise in data operations, file handling, object-oriented programming, and key Python libraries like Pandas, NumPy, and Matplotlib. Whether you're a beginner or a professional, this course provides a comprehensive introduction to Machine Learning, Recommendation Systems, and other critical Data Science techniques to jumpstart your career in the field.

WEEK 8-9
19 Modules
45 Hours
12 Skills

Watch Course Recording

Data Science with Python Certification Course

Course Content

Artificial Intelligence Certification Course

LIVE CLASS

Edureka's advanced AI training course is designed by industry experts to help you prepare AI Engineer, Data Scientist, NLP Engineer, etc. The objective of this Artificial Intelligence training course is to help learners improve their Computer Vision, Text Processing skills, etc. AI certification course will help you understand various concepts like OS Module, Setting the NLTK Environment, POS Tagging, etc.

WEEK 8-9
18 Modules
42 Hours
10 Skills

Watch Course Recording

Artificial Intelligence Certification Course

Course Content

LLM Prompt Engineering Certification Course

LIVE CLASS

Edureka's Prompt Engineering Course is designed by industry experts to help you prepare as a Prompt Engineer, NLP Engineer, Chatbot Developer, etc. The objective of this course is to help learners improve their skills in working with ChatGPT, leveraging generative AI, and pursuing certification and advanced degrees. This training will help you understand various concepts, such as Generative AI Principles and Types of Generative Models.

WEEK 5-6
12 Modules
36 Hours
10 Skills

Watch Course Recording

LLM Prompt Engineering Certification Course

Course Content

Agentic AI Certification Training Course

LIVE CLASS

Edureka's Agentic AI Certification course is designed by industry experts to help you prepare for a Generative AI Engineer, LLM Engineer, AI Agent Engineer, etc. The objective of this AI agents training is to help learners improve their Agentic AI Development, AI Architecture Design, etc. This training will help you understand various concepts like Conversation Patterns, Optimizing Performance and Efficiency in No-Code AI, etc. You’ll learn key concepts with hands-on projects to build practical skills for real-world AI applications.Ranked #1 Agentic AI Training Course by ZeeNews

WEEK 5-6
11 Modules
30 Hours
10 Skills

Watch Course Recording

Agentic AI Certification Training Course

Course Content

Free Elective Courses along with learning path

VIEW FREE COURSES

Self Paced

Enhancing Productivity with ChatGPT

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Self Paced

Generative AI Industry Applications

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Self Paced

AI Assisted Software Development

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Generative AI Course in Delhi Fees

59,999 89,991

Your total savings: 29,992

No Cost EMI Available, Starting from 6,667/mo.

See Course Bundle

Data Science with Python Certification Course

21,995
Artificial Intelligence Certification Course

20,799
LLM Prompt Engineering Certification Course

18,199
Agentic AI Certification Training Course

22,999

+3 Free Elective Courses 5,999

Financing options available View More

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Gen AI Masters Course Certificate

Edureka’s Certificate Holders work at companies like :

John Doe

Generative AI Engineer

Data Science with Python Certification Course Artificial Intelligence Certification Course LLM Prompt Engineering Certification Course Agentic AI Certification Training Course

XYZ1234 31st Jul 2024

The Certificate ID can be verified at www.edureka.co/verify
to check the authenticity of this certificate

Generative AI Course in Delhi Features

As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

Never miss a class

You can always switch to another batch, depending upon your availability.

24x7 Support

Resolve all your doubts instantly, get one-on-one learning assistance round the clock.

Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Generative AI Engineer Job Outlook

47.5% Growth The Generative AI market size is projected to grow at a CAGR of 47.5% during 2023-2030

Salary Trend The average annual pay for a Generative AI Engineer in the United States is $115,864 a year

2.5 Million Career Opportunities Estimated for experienced Generative AI Engineers by 2026 in the IT industry across the globe

Job Titles include

AI Engineer
Generative AI Engineer
Prompt Engineer
Machine Learning Engineer
Data Scientist
AI Research Scientist
NLP Engineer

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FAQs

Gen AI Course FAQ

Overview and key features of the Gen AI Masters Program

Edureka's Generative AI course is a comprehensive program designed to master generative AI principles and their real-world applications. The course covers a wide range of topics, including Python programming, data science, AI, NLP, and advanced techniques in generative AI and prompt engineering. It includes interactive learning, projects, and assignments and aims to equip learners with the skills needed to excel in various AI-related roles.

Key Features

Live Instructor-led Sessions and Self-paced Modules
Comprehensive Curriculum
Capstone Project
Hands-on Labs and Assignments
Industry-Aligned Content
Certification of Completion
24/7 Support and Lifetime Access
Career Guidance & Interview Preparation

Who should enroll in this online Gen AI training course?

This course is perfect for professionals, developers, data scientists, and AI enthusiasts looking to master generative AI concepts and advance their careers.

What topics are included in the master program syllabus?

This program covers Python, Statistics, Data Preparation, Machine Learning, Natural Language Processing, Deep Learning, Generative AI, ChatGPT, Prompt Engineering, Large Language Models, LLM Application Development, Generative AI Applications, and many more skills.

Are there any prerequisites for joining this AI course?

There are no prerequisites for enrolling in this Gen AI course, anyone interested can join!

Is this certification training instructor-led or self-paced?

This masters program combines both instructor-led and self-paced learning. Key topics like Data Science, Artificial Intelligence, ChatGPT, and Prompt Engineering are taught through live instructor-led sessions, while Python scripting and Generative AI industry applications are covered via self-paced courses, giving you flexibility with expert guidance.

What is the typical duration for completing the online Gen AI courses?

The course takes about 183 hours to complete, with a flexible schedule that lets you study a few hours several days a week, fitting easily around your work and life.

What are the eligibility criteria for becoming a certified AI professional?

To be certified as a Generative AI Engineer, you must complete all required certification projects across key courses including Python Scripting, Data Science with Python, Artificial Intelligence, ChatGPT-4, Prompt Engineering with Generative AI, and Generative AI Industry Applications. Elective courses are also available to enhance your AI and machine learning skills.

Do I receive certification after completing the training?

Yes, once you complete the Gen AI Online Course, you will receive a lifetime-valid course completion certificate.

Is this masters program suitable for beginners or those new to AI?

Yes, this course is suitable for you even if you already have experience with Python

How soon will I get access to all courses after enrollment?

Soon after enrolling in this Gen AI course, you will get immediate and lifetime access to all live and self-paced courses listed in the curriculum, including elective options, so you can start learning right away.

Which programming languages are commonly used in AI development?

The programming languages commonly used in generative AI development are Python, R, Julia, and JavaScript.

Can you provide a brief introduction to generative AI technologies?

Generative AI is a type of artificial intelligence that uses advanced algorithms and neural networks to create new, original content such as text, images, or audio based on patterns learned from existing data.

What roles and responsibilities do AI engineers typically have?

A Generative AI Engineer designs, develops, trains, and optimizes AI models, prepares and processes data, evaluates model performance, integrates solutions into systems, and collaborates across teams to deliver effective AI applications.

Why should I become a Generative AI Engineer?

You should become a Generative AI Engineer because it offers exciting career opportunities, high salary potential, and the chance to work at the forefront of innovative AI technologies transforming industries worldwide.

What career opportunities are available after completing a Gen AI Masters Program?

After completing a Gen AI Masters Program, you can pursue roles like AI Research Scientist, Machine Learning Engineer, Generative AI Engineer, Data Scientist, AI Product Manager, Deep Learning Engineer, AI Consultant, AI Content Creator, and creative or technical specialist positions across industries such as tech, healthcare, finance, and entertainment

Is prior coding experience required for the certification courses?

Yes, coding skills are generally needed for this Gen AI certification course, especially knowledge of Python. You will use programming languages and key libraries like TensorFlow and PyTorch to build, train, and optimize generative AI models effectively. Coding lets you turn AI algorithms into real-world applications and customize models to meet specific needs.