M.Tech Online In Generative AI For Working Professionals
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M.Tech for Working Professionals in Generative AI

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Updated at : February 25, 2025

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Online M.Tech Generative Artificial Intelligence for Working Professionals

This master’s course will take place in four semesters with a duration of two years for working professionals. In this specialization course in generative AI, students will get to learn topics, such as applications of generative AI, programming fundamentals, fundamentals of machine learning, etc. A two-year master's degree course would allow students to pursue this program based on certain criteria. You must have completed a three-year polytechnic diploma course and some work experience is necessary. It involves topics such as applications of generative AI, programming fundamentals, fundamentals of machine learning, etc. It would sharpen your experience in generative AI.

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No. of Universities

3

Course Duration

2 Years

Eligibility

B.Tech / M.Sc / MCA Pass out

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Online

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Available

M.Tech for Working Professionals in Generative AI Program Overview

The M.Tech in Generative AI Engineering for Working Professionals will be conducted partially online. The other half will be on interacting with other branches that do not have one basic common subject unique to one branch. This will give an idea to the students of how to maximize their creativity with the knowledge they gain in the course. Graduates of this M.Tech in generative AI engineering for working professionals will also, apart from other things, hone some soft skills like problem-solving, communication, analytical, and critical thinking skills.

Artificial Intelligence Market Size

The M.Tech generative AI program with flexible timings is targeted towards working professionals and is a pure technical postgraduate program; therefore, it is beneficial for new students who want to enter the ever-advancing generative AI field for a lucrative career. The program will guide you along the academic trails of AI, ML, etc., which will help you with that gold-plated salary package. You can look for jobs as data scientists, machine learning engineers, AI research scientists, NLP engineers, product managers, AI product managers, computer vision engineers, data engineers, robotics engineers, algorithmic traders, and many more. 

It happens to be an intelligent as well as a fascinating domain that focuses, among other things, on designing and developing machine learning, analytics, cloud engineering, and tech capabilities among learners. This online master's course can be a game-changer, as students get to garner detailed knowledge about the strong embedded need for mathematical and statistical knowledge and data visualization and analytics, with a major focus on critical thinking and creative problem-solving, to design and implement innovative generative AI solutions, etc. Equipped with all the necessary skills in advanced technology and tools such as Python, deep learning, natural language processing (NLP), machine learning algorithms, data engineering skills, model deployment, scaling, etc. They will also build skills for one of the hottest hiring fields. 

With changing times, progress and changes have been seen in various fields such as the AI industry, etc. The generative AI industry is full of promising and innovative job opportunities for the youth looking to make a contribution towards a better future in this eminent domain. 

Why Choose M.Tech in Generative AI Engineering for Working Professionals?

It has an open schedule and goes for an M.Tech in generative AI engineering for working professionals, which has become an adored option for undertaking an engineering degree. Being a subject that has covered the broad field in general, engineering, machine learning, artificial intelligence, network systems, and programming, here are ample facts as to why to choose this M.Tech course in generative AI engineering as an employee: 

  • Flexible Learning: This course is hybrid, meaning that students do not need to regularly attend classes at the university or college.  
  • Comprehensive Curriculum: The syllabus is both comprehensive and easy to understand, including software development methodologies, Python, deep learning techniques, NLP, understanding machine learning algorithms, data engineering skills, model deployment, and scaling, and much more, leading up to some specialized topics that include AI, data science, strong mathematical and statistical knowledge, data visualization, and analysis, innovative generative AI solutions, etc. 
  • Hands-on Training: Since this M.Tech in generative AI engineering for working professionals is tech-based, working professionals will get some hands-on training experiences that would help them in their work.  
  • Skillsets Relevant to the Industry: This course equips you with deep knowledge about the topics relevant to industries, ranging from artificial intelligence, machine learning, and Python to deep learning methodologies, NLP, data engineering skills, scaling, and so on. 
  • Career Opportunities: This course helps you get ready for several technical job roles, like data scientist, data analyst, big data engineer, machine learning engineer, software architect, full-stack developer, senior software developer, mobile app developer, cyber-security analyst, ethical hacker, cloud architect, cloud engineer, and research scientist, among others. In addition to jobs specifically related to generative AI, there are countless other industries in which one can establish a prosperous career after earning an M.Tech in engineering with part-time hours. 

Who Should Apply for M.Tech in Generative AI Engineering for Working Professionals?

An M.Tech in Generative AI Engineering for Working Professionals is ideal for those who are planning to join sectors like machine learning, robotics, artificial intelligence, etc. Those who have completed their graduation in B.Tech or B.E. are also eligible for this course and can learn the advanced factors of cloud computing, network systems, robotics, etc.

  • Tech Savvy: If generative AI, robotics, and machine learning enthuse you, this course is meant for you.
  • Working Professionals: You can also opt for this course if you aim to improve your career prospects in diverse technology areas measured and evaluated as AI, robotics, machine learning, etc.
  • Graduates: A graduate (BTech or BE) contemplating his or her career in the machine learning and robotics sectors.
  • Upskilling: Do you wish to learn software such as artificial intelligence (AI), data science, Python, deep learning techniques, natural language processing (NLP), understanding of machine learning algorithms, data engineering skills, model deployment and scaling, etc.? Then this course provides a clear WIN-WIN situation for you.
  • Entrepreneurs and Innovators: Entrepreneurs or innovators from similar academic backgrounds would like to do something in artificial intelligence (AI), machine learning, aerospace, robotics, etc. 

When to do M.Tech in Generative AI Engineering for Working Professionals?

This master’s in technology in the specialization of generative AI engineering for working professionals can be pursued either by the graduates of B.Tech or B.E. in the same field who have a certain number of years of work experience. Just remember, whenever you feel that you are ready to jump into this course field, that is the accurate time to pursue this course. Overall, the M.Tech in generative AI engineering for working professionals can give you fruitful results for your career. 

You can enroll yourself in the M.Tech in generative AI engineering for working professionals after thinking carefully about your professional goals, academic background, and career aspirations. Listed below are some of the best times in which you can enroll yourself for an M.Tech in generative AI engineering for working professionals.

  • After Completing a Graduation in B.Tech./B.E.: If you are an individual who has completed your graduation in B.Tech or B.E. 
  • Working Professional: If you are a corporate worker in machine learning, robotics, or artificial intelligence, then you can also pursue this course. 
  • Want to Shift Your Career in Generative AI, Machine Learning, or Robotics: If you are someone who wants to join the generative AI or robotics industry but belongs to a completely different industry, then you can easily switch to the generative AI engineering industry. 
  • Start the AI or Robotics-based Business: Aspiring entrepreneurs and innovators looking to learn about critical thinking, teamwork, problem-solving, etc. Along with this, you will also get a strong knowledge of Python, deep learning techniques, natural language processing (NLP), an understanding of machine learning algorithms, data engineering skills, model deployment, and scaling. You can implement this knowledge in your real-life situation. 

Key Highlights of M.Tech for Working Professionals in Generative AI In India

  • Several universities with international reputations have various engineering departments that offer an M.Tech in Generative AI Engineering to both regular students and working professionals. The course has also gained recognition as a professional program by the AICTE.
  • At times, several factors have tilted the module toward working professionals: flexibility in hours allows for a broad overview of technology with ongoing job commitments.
  • Plans for various workshops and seminars include classroom experiences taught by professors in consultation with students distributed across the farthest corners of a given area.
  • Students will find all the liveliness and vigor of a lecture happening at any point during MTech in Generative AI engineering is at their university. However, all lectures will be recorded, so if you ever miss a class, you can view the recordings later.
  • In addition to regular lectures, guest lectures would also be organized to help practice techniques and methodologies for a deeper understanding of AI and robotics.
  • Membership would facilitate further exploration of the subjects relevant to M.Tech focused on generative AI engineering.
  • Practice-oriented courses by professionals working in the industry who bring significant experience into the classroom offer students a unique viewpoint on learning and contextual applicability.
  • The online programs prepare for the future by linking up the very best professors with industry. Online education brings with it boundless options for communication and collaboration with classmates, anytime, anyplace. There are no barriers to communication in the online course, whether between professors to professors or between professors to students.

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M.Tech for Working Professionals in Generative AI Course Subjects/Syllabus

An M.Tech in Generative AI Engineering for Working Professionals has modules on Python, deep learning techniques, natural language processing (NLP), an understanding of machine learning algorithms, data engineering skills, model deployment and scaling, etc. Hence, industry relevance, hands-on knowledge, and career skills will have a strong mathematical and statistical knowledge, and the ability to visualize and analyze data, with an emphasis on workability and creative problem-solving to design and implement innovative generative AI solutions. A structured syllabus layout is as follows: 

M.Tech for Generative AI Engineering for Working Professionals Syllabus

Semester 1 

Semester 2

  • Introduction to Generative AI
  • Generative AI Models
  • Generative AI Tools & Techniques
  • Generative AI Tools & Techniques
  • Generative AI Applications
  • Programming Fundamentals
  • Machine Learning Fundamentals
  • Mastering Multimodal GenAI

Semester 3

Semester 4

  • Building a Voice Assistant
  • News Aggregation and Summarization
  • Image Generation
  • Building a Social Media Automation Tool
  • Project Work

*This is the general syllabus for reference; specific learners can connect with the university or professors. 

M.Tech for Working Professionals in Generative AI Eligibility & Duration

Another thing with this course is that for working professionals intending to pursue the M.Tech in generative AI engineering, there is no age limit to enroll. 

The qualifications and eligibility for this degree will depend on a qualifying test or other general requirements mandated by the university. The college will then take in those candidates who have missed their scheduled entrance exams for certain reasons but can be promoted to higher classes after an entrance exam. 

Duration of M.Tech in Generative AI Engineering for Working Professionals

Working professionals can complete an online M.Tech in generative AI engineering with flexible timings in about 3 years. The part-time M.Tech in generative AI engineering program works for experienced professionals in the field who wish to sharpen their skills. After these are considered, their admission into the next class will be based strictly on qualifications and experience. The total duration is, therefore, approximately 3 years. The plan is to have a working professional become just more employable.

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Program Fees for M.Tech for Working Professionals in Generative AI

Starting at ₹ 6,776/month

Program Fee: ₹1,52,000 - ₹3,54,000

Low Cost EMI Available

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The fees for M.Tech programs vary by university. However, the common range for an online M.Tech in Generative AI Engineering for Working Professionals falls between 2 and 6 Lakhs. Usually, the candidates can pay in installments that would be comfortable for them. The fee structure needs to be checked to confirm the correct information before applying for admission. 

M.Tech for Working Professionals in Generative AI Admission Procedure

The admission process is nearly uniform across various universities, and this is a checklist of the basic requirements for M.Tech in Generative AI Engineering for Working Professionals.

  • Log on to the website of the university for an online M.Tech in Generative AI engineering for working professionals.
  • You will find the verification form that needs to be completed as per laid-down norms with all required papers and personal details.
  • As soon as you complete the application form, you receive a link for the verification form. Click on that link and do the verification accordingly.
  • Subsequently, make payment through the online method. 
  • Finally, admission will be confirmed via email. 
 
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Education Loan/EMI Facilities for M.Tech for Working Professionals in Generative AI

Educational fees are rising day by day. Thus, online courses are an alternative to conventional education. Due to the rising fee, all universities and institutes have launched certain initiatives, such as bank loans and EMI facilities, to make it easier for aspiring candidates to pay. Giving students an option of EMI allows him/her to make prior planning and decisions with the help of a budget beforehand as to whether it is possible for the student to pay the fees at once or through installments based on the situation whereby the loan is being applied in full by the student. They forwarded the services to a collection of candidates. 

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Is M.Tech for Working Professionals in Generative AI Worth it?

An M.Tech in generative AI engineering for working professionals allows for just as many advantages for career advancement as those on offer for fast-growth careers in the generative AI industry, owing to the utility of generative AI for innumerable domains: 

  • Great Demand for Generative AI Engineers: Some private sector companies—such as DeepMind, NVIDIA, and IBM—employ AI research scientists or data scientists for great career opportunities. Google, Meta, Amazon Web Services (AWS), Microsoft, OpenAI, Scale AI, and several AI startups are among the top recruiters for the online M.Tech in Generative AI Engineering for working professionals. 
  • Flexibility & Accessibility: As the name suggests, this is an M.Tech in generative AI engineering for working professionals.
  • Therefore, it is devised in such a way that these professionals could easily catch up with their lectures and classes at their own pace depending on the remaining availability during their busy work schedules. Learners can flexibly adjust to their study at night or over the weekend. The course offers working professionals a rare chance to strike a perfect work-life balance by undertaking an M.Tech in generative AI engineering online. 
  • Fulfilling the Employment Needs: This is a tech-driven world, and the demand for generative AI engineers or programmers is escalating. There is, however, a serious need for a deeper comprehension of some tools and tricks to accomplish equilibrium across the corporates. These programming languages are Python, deep learning techniques, natural language processing (NLP), understanding of machine learning algorithms, data engineering skills, model deployment, and scaling. In addition to these, good mathematical and statistical knowledge, paired with the capability to visualize and analyze data, should be in the learners' arena in the M.Tech in generative AI for working professionals, which is flexible. 
  • Career Prospects with Great Salary Packages: A generative AI engineering degree gives tech-based individuals respectable pay. Be they data scientists, machine learning engineers, AI research scientists, natural language processing engineers, product managers, AI product managers, computer vision engineers, data engineers, robotics engineers, and AI ethicists, etc., they are not far from the rank of the best-paid professionals. This degree gives a major leap in career opportunities.

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Job Opportunity after M.Tech for Working Professionals in Generative AI

A vast number of career opportunities are in the offering after pursuing an online M.Tech in Generative AI Engineering for Working Professionals. Large corporations always prefer candidates who are competent and do not lose the opportunity to polish their skills. Some of such jobs in demand are:

Jobs After M.Tech in Generative AI Engineering for Working Professionals 

Data Scientist 

Machine Learning Engineer

AI Research Scientist

Natural Language Processing Engineer

AI Product Manager

Computer Vision Engineer

AI Ethicist

Robotics Engineer

Top Recruiters for M.Tech for Working Professionals in Generative AI

Upon the graduation of the M.Tech in Generative AI Engineering for Working Professionals, the graduates will be eligible to seek employment in the top information technology and tech-based organizations. The fields where generative AI engineers are mandated include machine learning, robotics, artificial intelligence, data analysis, etc. Some private sector companies—such as DeepMind, NVIDIA, and IBM—employ AI research scientists or data scientists for great career opportunities. Google, Meta, Amazon Web Services (AWS), Microsoft, OpenAI, Scale AI, and several AI startups are among the top recruiters for the online M.Tech in Generative AI Engineering for working professionals.

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Let's clear up some doubts about M.Tech for Working Professionals in Generative AI

Applicants could add their names to the list of Sanskriti University, Lingaya's Vidyapeetha University, and Shri Venkateshwara University for enrollment to pursue generative AI engineering.

No, an online M.Tech in generative AI engineering for working professionals is not considered valid in India because online M.Techs won't get recognition from UGC and AICTE, although these flexible timing programs in generative AI engineering have been framed for working professionals with a similar engineering bachelor's degree and are really interested in the area.

Online M.Techs are considered invalid; however, with flexible timings, M.Tech in generative AI engineering programs are provided for working professionals. The prices for the M.Tech in generative AI engineering with flexible timings rest between an approximation of 2 to 5 lakhs for a working professional. 

Yes. Any on-duty person having a B.Tech or B.E. degree can apply for an online M.Tech course for working professionals in generative AI engineering. It also might concern others with degrees from closely related areas from Sanskriti University and Lingaya's Vidyapeetha University. 

It incorporates hands-on projects, focusing on necessary skills in advanced technology and tools such as Python, deep learning, natural language processing (NLP), machine learning algorithms, data engineering skills, model deployment, and scaling. 

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