Building the Future of Technology, One Algorithm at a Time

Dive into Electronics & Telecommunication Engineering

3 Years Full Time
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About Course

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.

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Objectives of the 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.

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Future of AI Engineers

CAGR of 40%*

The AI market in India is expected to grow at a CAGR of 40% by 2025.

45% Market Growth

The adoption of AI in Indian businesses will increase by 45% in the next three years.

Grow by 60%

The demand for AI professionals in India is set to grow by 60% by 2025.

Eligibility

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:

  • DTE Registration Letter
  • DTE Allotment Letter (for CAP)
  • Entrance Exam Score Card
  • SSC (Std. X) Mark sheet
  • HSC (Std. XII) Mark sheet
  • Diploma Mark Sheet/Certificate (if applicable)
  • Provisional Degree (if applicable)
  • College Leaving Certificate / Transfer Certificate
  • Eligibility Certificate (for candidates from outside Maharashtra)
  • Domicile Certificate
  • Nationality Certificate
  • Enrolment Form
  • Any other document mentioned as per DTE
  • PAN Card & Aadhar Card Photocopy
  • Bank Passbook Photocopy (Aadhar linked A/C Number)

Core Skills

Career 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

Future Studies

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

Course Available at College

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FAQ

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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Applications of admission are now
open for academic year 2024-2025

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