National Registrar Ministry of Corporate (Govt. of India).
Registrar By NCT, Govt. of Delhi.
Register By Ministry of MSME, Govt. of India
WA 2:2007 Certified By Indraprastha SystemCert Pvt.Ltd is Accredited By Integrated Accreditation Centre For Certification (IACCA) http://www.www.iacca.in
An ISO 9001-2015 Certified By Indraprastha SystemCert Pvt.Ltd is Accredited By Emirates International Accreditation Center (EIAC) https://www.eiac.gov.ae
An ISO 45001:2018 Certified By Innovative SystemCert Pvt.Ltd is Accredited By Egyptian Accreditation Council, (EGAC) http://www.egac.gov.eg
An ISO 14001:2015 Certified By Innovative SystemCert Pvt.Ltd is Accredited By Egyptian Accreditation Council, (EGAC) http://www.egac.gov.eg
Master Program in Artificial Intelligence & Machine Learning Engineering for Working Professionals
Khatu Shyam Institute of Management & Technology (KSIMT®) offers the Master Program in Artificial Intelligence & Machine Learning Engineering for experienced working professionals who want to develop advanced theoretical knowledge of AI, machine learning, intelligent systems and data-driven technologies while continuing their existing employment.
The program covers machine learning algorithms, deep learning, natural language processing, computer vision, intelligent systems, AI architecture, data engineering, responsible AI and emerging AI applications.
Designed for Experienced Working Professionals
Minimum 3 Years of Relevant Work Experience
Program Duration: 2 Years
100% Theoretical Learning | Digital E-Books | No Regular Classroom Attendance
KSIMT® is ISO Certified and operates under the guidelines set by the Government of Delhi and Government of India.
Work + Study = Success
- Designed for experienced working professionals
- Minimum 3 years of relevant work experience
- Advanced AI & Machine Learning curriculum
- 16 theoretical subjects
- 100% theoretical learning model
- Digital e-books
- Flexible learning alongside employment
- No regular daily classroom attendance
- No regular laboratory attendance
- Examination and assignment support
- Online Examination Result / Verification
- Academic and documentation support
Technology professionals often search for Distance Engineering, Online Engineering, Correspondence Engineering, Distance Learning Engineering, Distance Education Engineering and Work-Integrated Engineering because returning to regular daily college may not be practical after entering full-time employment.
Professionals working in software, IT, analytics, automation, digital transformation and technology operations may already have years of practical exposure but need deeper theoretical understanding of Artificial Intelligence and Machine Learning.
For many experienced professionals, the problem is not the willingness to learn. The real challenge is finding an advanced engineering learning structure that fits around an established job, professional responsibilities and available time.
KSIMT® provides a flexible theoretical learning structure through digital e-books and remote academic support, helping eligible professionals continue advanced learning while remaining employed.
The program is primarily designed for experienced professionals working in technology, software, IT, data, automation and related technical environments.
It may be suitable for professionals involved in:
- Software Engineering
- Information Technology
- Data Analytics
- Machine Learning Applications
- Artificial Intelligence Applications
- Automation
- Digital Transformation
- Business Intelligence
- Data Engineering
- Intelligent Systems
- Technology Management
- Software Systems
- Research & Technical Analysis
- AI-enabled Business Applications
Engineers, software professionals, IT specialists, technical executives, analysts and other experienced technology professionals may explore the program according to their previous qualification and relevant professional experience.
Strengthen advanced AI and Machine Learning knowledge around the technology experience you have already built through your work.
Applicants must have an applicable Bachelor-level qualification or equivalent background along with a minimum of 3 years of relevant work experience in the same or related field.
Freshers are not eligible.
Educational Qualification: Applicable Bachelor-level qualification or equivalent in Engineering, Computer Science, IT or a relevant field
Relevant Work Experience: Minimum 3 Years
Program Duration: 2 Years
Admission is considered on the basis of previous qualification, relevant professional experience and applicable documents.
Your academic background and relevant technology experience are reviewed before admission.
Government employees should obtain the applicable departmental NOC before admission.
The Master Program in Artificial Intelligence & Machine Learning Engineering develops advanced theoretical understanding of intelligent systems, machine learning models, AI technologies and data-driven decision systems.
Key Study Areas:
Artificial Intelligence • Machine Learning • Deep Learning • Neural Networks • Natural Language Processing • Computer Vision • Reinforcement Learning • Data Engineering • Intelligent Systems • AI Architecture • Predictive Analytics • Generative AI Concepts • Responsible AI • AI Governance • MLOps Concepts • Research Methodology
These learning areas help experienced professionals understand the theories, models and engineering principles behind modern AI and Machine Learning systems.
- Advanced Artificial Intelligence
- Mathematics & Statistical Foundations for Machine Learning
- Machine Learning Algorithms & Model Design
- Data Engineering & Preprocessing for AI
- Deep Learning & Neural Networks
- Natural Language Processing
- Computer Vision & Pattern Recognition
- Research Methodology in AI & Machine Learning
- Reinforcement Learning & Intelligent Decision Systems
- Generative AI & Foundation Model Concepts
- Advanced AI Architecture & Intelligent Systems
- AI for Automation & Robotics
- MLOps & Machine Learning System Lifecycle
- Responsible AI, Ethics & Governance
- Big Data Analytics & AI Applications
- AI Strategy, Innovation & Enterprise Applications
The program includes 16 advanced theoretical subjects across two academic years.
Develop deeper theoretical understanding of intelligent agents, reasoning systems, search methods, knowledge representation and modern AI approaches.
Study supervised, unsupervised and other machine learning approaches together with model selection, evaluation and theoretical performance concepts.
Understand neural network architectures, deep learning principles and theoretical concepts behind modern learning systems.
Study theoretical approaches used to process, understand and generate human language using AI systems.
Develop understanding of image analysis, feature representation, visual recognition and AI-based interpretation of visual information.
Explore theoretical concepts behind generative systems, foundation models, large-scale learning architectures and modern AI applications.
Understand concepts associated with managing machine learning models through development, deployment, monitoring and lifecycle stages.
Study fairness, transparency, accountability, privacy, governance and responsible use of Artificial Intelligence.
The Master Program in Artificial Intelligence & Machine Learning Engineering follows a 100% theoretical learning model designed for experienced working professionals.
Applicable study material is provided through digital e-books, allowing students to manage advanced theoretical learning around full-time jobs, technology projects, shift duties and professional responsibilities.
The learning structure includes theoretical study, flexible self-study, applicable assignments, examinations and academic guidance.
No regular daily classroom or laboratory attendance is required under the theoretical learning model.
Continue your existing employment while developing advanced theoretical AI and Machine Learning knowledge.
Technology professionals may already be managing full-time employment, development projects, digital transformation initiatives, deadlines, family commitments and financial responsibilities.
Leaving employment only to attend regular daily classes may interrupt income, ongoing projects and professional continuity.
For an experienced technology professional, the need is to continue advanced learning without unnecessarily putting years of industry experience and an established career on hold.
KSIMT® helps eligible working professionals manage structured theoretical learning alongside their existing employment.
Continue Working. Continue Learning. Build on the Experience You Already Have.
Eligible technology professionals working across India and international locations can explore the program remotely.
The program may be relevant for professionals working in the UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain and other international locations, particularly those involved in software, IT, analytics, automation, digital transformation and technology operations.
Eligible overseas professionals can access applicable learning material and student support remotely while continuing their existing employment.
Total Master Program Fee: INR 70,500/-
The applicable program fee includes:
- Admission Fee
- Digital E-Books
- Examination Fee
- Student ID
- Applicable Taxes
One-Time Payment | 3-Month EMI | 6-Month EMI
Flexible payment options help working professionals plan education expenses alongside regular income and other financial responsibilities.
Payments should be made only through authorised KSIMT® payment channels.
The current live page also lists the Master Program fee as INR 70,500/- and a 2-year duration. Khatu Shyam Institute
Enquiry - Eligibility Review - Document Review - Admission Confirmation - Student Login - Digital ID Card - Digital E-Books - Academic Information - Examination - Examination Result - Verification - Academic Documents
The admission process provides working professionals with a clear journey from profile review through applicable program completion and academic documentation.
The Master Program in Artificial Intelligence & Machine Learning Engineering follows a theoretical examination and assignment-based academic assessment process.
Students receive applicable information regarding:
- Examination schedules
- Theory-based question papers
- Assignment requirements
- Subject-wise instructions
- Submission procedures
- Applicable deadlines
Applicable examination answers or assignments are submitted according to the examination instructions communicated by KSIMT®.
After evaluation, the Examination Result is processed according to the applicable examination cycle.
KSIMT® provides applicable academic and administrative support throughout different stages of the student journey.
Services may include:
- Admission Guidance
- Eligibility Review
- Documentation Support
- Digital E-Books
- Student Login
- Digital Student ID Card
- Examination Guidance
- Examination Result
- Online Result / Verification
- Transcript
- Verification Letter
- Migration
- Consolidated Marksheet
- Medium of Instruction
- Character Certificate
- Provisional Documentation
- Applicable Apostille & Embassy Attestation Support
KSIMT® support extends from admission and study material to examination, result verification and applicable academic documentation.
Experienced technology professionals need an education model that can realistically fit around employment, existing industry experience, project responsibilities, available time and financial commitments.
KSIMT® focuses on these practical requirements through:
- Programs structured for experienced working professionals
- Relevant work-experience based eligibility
- Distance, Online, Correspondence and Work-Integrated learning support
- 100% theoretical learning
- Digital e-books
- No regular daily classroom attendance
- Ability to continue existing employment
- Advanced technology specialisations
- Examination and assignment support
- Online Examination Result / Verification
- Academic documentation services
- Flexible payment options
- India and international accessibility
You have already invested years in building professional technology experience. KSIMT® provides eligible working professionals with a structured way to strengthen advanced AI and Machine Learning knowledge without unnecessarily putting their existing career on hold.
KSIMT® is ISO Certified and operates under the guidelines set by the Government of Delhi and Government of India.
Candidates should have an applicable Bachelor-level qualification or equivalent and minimum 3 years of relevant professional experience in the same or related field.
No. Freshers are not eligible. The program is designed for experienced working professionals.
The Master Program has a 2-year theoretical academic structure.
KSIMT® provides flexible Distance, Online, Correspondence and Work-Integrated theoretical learning support for eligible experienced working professionals.
Yes. The program is structured to help eligible professionals manage advanced theoretical learning alongside their existing employment.
Yes. The curriculum includes Machine Learning Algorithms, Deep Learning and Neural Networks as core advanced areas.
Yes. The revised Master-level syllabus includes Generative AI & Foundation Model Concepts.
Yes. Both Natural Language Processing and Computer Vision & Pattern Recognition are included.
No. The program follows a 100% theoretical learning model and does not require regular daily laboratory attendance.
Applicable theoretical study material is provided through digital e-books.
The program includes 16 advanced theoretical subjects across two academic years.
The total Master Program Fee is INR 70,500/-, including applicable admission fee, digital e-books, examination fee, Student ID and taxes according to program terms.
Yes. Applicable 3-month and 6-month EMI options are available according to admission terms.
Yes. Eligible professionals in UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain and other international locations may enquire remotely, subject to applicable admission eligibility.
Yes. KSIMT® provides an applicable Online Examination Result / Verification facility for student records.
Professional experience in software, IT, data and emerging technologies takes years to build. The KSIMT® Master Program provides eligible experienced professionals with a flexible theoretical learning pathway to develop advanced AI and Machine Learning knowledge while continuing their existing careers.
Minimum 3 Years Relevant Work Experience | 100% Theoretical Learning | Digital E-Books
KSIMT® | Work + Study = Success
Course Offered By : KSIMT under autonomous mode through distance education
Request a Callback
Admission Guidance for Working Professionals For Professionals With 3+ Years of Relevant Work Experience
