Diploma Artificial Intelligence

Building the Future of Technology, One Algorithm at a Time

About Course

  • Location - GHRSTU Nagpur
  • Duration -3 years (2 sem per year)
  • Course Type - Full time
  • Affiliated - UGC

The Diploma in Artificial Intelligence is a 3-year program designed to provide students with a robust foundation in AI technologies and their applications. This course covers essential topics such as machine learning, neural networks, natural language processing, robotics, and data analysis. Students gain practical skills through hands-on labs, projects, and industry-relevant training. The program prepares graduates for entry-level positions in the AI industry and equips them with the skills needed to tackle real-world AI challenges.

Objectives of Program

  • Develop a strong foundation in the fundamentals of Artificial Intelligence.
  • Equip students with practical skills in machine learning and data science.
  • Provide insights into emerging AI technologies and their applications.
  • Foster analytical and problem-solving skills using AI methodologies.

Future in Artificial Intelligence

  • The AI market in India is expected to grow at a CAGR of 40% by 2025.
  • The adoption of AI in Indian businesses will increase by 45% in the next three years.
  • The demand for AI professionals in India is set to grow by 60% by 2025.

Eligibility

  • The candidate should be an Indian national.
  • Candidates must have passed the Secondary School Certificate (SSC) examination with a minimum of 45% marks in aggregate for the open-category and 40% marks for the reserved-category. The subjects should include Mathematics, Science, and English.

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Admission Procedure

Admission shall be through the Centralised Admission Process (CAP). Educational institutions will admit candidates through stages such as publishing the Information Brochure on the Competent Authority's website, which candidates should read carefully. Candidates must fill out the Online Application Form according to the notified schedule for respective admissions. For detailed information, refer to the Information Brochure for Admission to Undergraduate Technical Courses by DTE Maharashtra.

CAP Admission Process
  • Registration
  • Document verification
  • Filling out the application form
  • Release of merit list
  • Allotment of College(Freeze, Slide, Float)
  • Report to College along with DTE allotment letter, original documents and prescribed fees for Actual Admission
Documents Required

Candidates must submit the following self-attested documents (Original + 2 Sets of Photocopies) along with the application form:

  • SSC (Std. X) Mark sheet
  • Enrolment Form
  • School Leaving Certificate / Transfer Certificate
  • ationality Certificate
  • Eligibility Certificate (for candidates from outside Maharashtra)
  • Domicile Certificate
  • Aadhar Card
  • Caste Certificate
  • Caste Validity Certificate
  • Income Certificate
  • Non-Creamy Layer Certificate
  • Eligibility Certificate for Economically Weaker Section (EWS)
  • Certificate of Disability
  • Defence Service Certificate
  • PAN Card & Aadhar Card Photocopy
  • Bank Passbook Photocopy (Aadhar linked A/C Number)

Technical Skills that you will learn

  • Python Programming
  • R Programming
  • Machine Learning Algorithms
  • Deep Learning Frameworks (TensorFlow, PyTorch)
  • Data Visualization (Tableau, Power BI)
  • Natural Language Processing (NLP)
  • Robotics Programming
  • AI Ethics and Governance
  • Neural Networks and Fuzzy Logic
  • Big Data Analytics

Careers

Job Opportunities

Graduates of the Diploma in Artificial Intelligence have a range of career opportunities available in various sectors. Potential job roles include:

Entry Level:
  • AI Programmer
  • Data Analyst
  • Machine Learning Engineer
Mid Level:
  • AI Specialist
  • Data Scientist
  • Robotics Engineer
Senior Level:
  • AI Architect
  • Chief Data Scientist
  • AI Consultant
Further Studies Options
  • B.Tech / B.E. in Artificial Intelligence, Computer Science & Engineering, or related fields
  • Advanced Diplomas in specialised areas such as Machine Learning, Robotics, or Data Science
  • Professional Certifications in AI, machine learning, and data analysis
  • Specialised courses in emerging AI technologies and applications

FAQs

What does the qualification cover?

The Diploma in Artificial Intelligence covers foundational topics such as machine learning, neural networks, natural language processing, robotics, and data analysis. The program emphasises practical skills and hands-on experience in AI technologies.

The starting salary for diploma holders in Artificial Intelligence in India typically ranges from ₹1.5 to ₹4 lakhs per annum, depending on the company, location, and individual skills. Salaries can increase with experience and additional qualifications.

Essential technical skills include proficiency in programming languages (such as Python, R, and Java), an understanding of machine learning algorithms, knowledge of neural networks, experience with data analysis, and familiarity with AI frameworks and tools.

Candidates must have completed their SSC (10th standard) from a recognised board with a minimum of 45% marks for Open Category students and 40% marks for Reserved Category students.

Career opportunities include roles such as AI Developer, Machine Learning Engineer, Data Analyst, Robotics Technician, AI Research Assistant, and Natural Language Processing Specialist.

The course is assessed through a combination of written exams, practical assignments, projects, and continuous evaluation through lab work and coursework.

Useful certifications include those in specific AI technologies and skills such as Microsoft Certified: Azure AI Engineer Associate, Google AI Certification, IBM AI Engineering Professional Certificate, and Certified Artificial Intelligence Practitioner (CAIP).

Skills and languages that often provide higher salaries include proficiency in machine learning, deep learning, natural language processing, expertise in Python and R, and advanced knowledge of AI frameworks like TensorFlow and PyTorch.
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