AI Engineer

What Do They Do?

  • Imagine you use Google Maps to find the fastest route to a place.
  • The app studies traffic and road conditions and suggests the best route.
  • There are smart systems the app uses to find the route.
  • The person who builds these systems is called an AI Engineer.
  • 👉 In simple words: AI Engineers create smart systems that can learn, think, and solve problems.

🎓 How to Become an AI Engineer

You have two options:

These beginner-level courses help students learn programming logic, basic data processing, AI fundamentals, Python coding, and introductory machine learning concepts.

Diploma in Computer Science & Engineering (Artificial Intelligence)

Duration: 3 Years

Eligibility: Class 10 Pass

Entrance Exam: Polytechnic Entrance Exam / Merit-Based Admission

Diploma in Artificial Intelligence & Machine Learning

Duration: 1 – 2 Years

Eligibility: Class 10 Pass

Entrance Exam: Direct Admission / Institute-Level Test

📝 Exam Details

(Click on the exam name to see full details)

Polytechnic Entrance Exam Merit-Based Admission Direct Admission Institute-Level Test

Note: Many AI Engineers improve their skills by building small AI projects, learning Python, and practicing machine learning regularly.

These degree programs provide strong foundations in artificial intelligence, machine learning, data science, programming, mathematics, algorithms, and intelligent system development.

B.Tech in Computer Science Engineering

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

B.Tech in Computer Science Engineering (Artificial Intelligence & Machine Learning)

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

B.Tech in Data Science

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / State Engineering Entrance Exams

Bachelor of Computer Applications (BCA) in Data Science & AI

Duration: 3 Years

Eligibility: 10+2 Pass (Any Stream; Mathematics or Computer Science preferred)

Entrance Exam: CUET-UG / State-level CET / University Merit

B.Sc. in Computer Science (Data Science / AI)

Duration: 3 Years

Eligibility: 10+2 Pass (with Mathematics/Computer Science as a subject)

Entrance Exam: CUET-UG / State-level CET / University Merit-Based Admission

📝 Exam Details

(Click on the exam name to see full details)

CUET-UG JEE Main JEE Advanced State Engineering Entrance Exams University Entrance Exams State-level CET Merit-Based Admission

Diploma holders can directly enter the 2nd year of some degree programs through lateral entry and complete graduation faster.

These lateral-entry programs help diploma holders continue their studies in Artificial Intelligence, Machine Learning, Data Science, and advanced software development.

B.Tech Lateral Entry (Computer Science)

Duration: 3 Years

Eligibility: Diploma in Engineering (CSE, IT, or AI/ML streams)

Entrance Exam: State Lateral Entry Exam

B.Tech Lateral Entry (CSE AI/ML)

Duration: 3 Years

Eligibility: Diploma in Engineering (CSE, IT, or AI/ML streams)

Entrance Exam: State Lateral Entry Exam

📝 Exam Details

(Click on the exam name to see full details)

State Lateral Entry Exam University Entrance Exams Merit-Based Admission

These programs help diploma holders enter directly into higher semesters and specialize in AI, machine learning, and data science technologies.

These advanced programs help graduates specialize in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Natural Language Processing, and intelligent system design.

M.Tech in Computer Science

Duration: 2 Years

Eligibility: Graduate (B.Tech/B.E. in CSE/IT/ECE or MSc/MCA with valid GATE score)

Entrance Exam: GATE / University Entrance Exams

M.Tech in Artificial Intelligence / Data Science

Duration: 2 Years

Eligibility: Graduate (B.Tech/B.E. in CSE/IT/ECE or MSc/MCA with valid GATE score)

Entrance Exam: GATE / University Entrance Exams

M.Tech in Data Science Science

Duration: 2 Years

Eligibility: Graduate (B.Tech/B.E. in CSE/IT/ECE or MSc/MCA with valid GATE score)

Entrance Exam: GATE / University Entrance Exams

Master of Computer Applications (MCA) in Artificial Intelligence

Duration: 2 Years

Eligibility: Graduate (BCA, BSc CS, or any degree with Mathematics at 10+2 or Graduation level)

Entrance Exam: NIMCET / State-level MCA Entrance Exams / Interview

Post Graduate Program in AI and Deep Learning

Duration: 6 – 12 Months

Eligibility: Graduate (Engineering, Mathematics, or Science background preferred)

Entrance Exam: Direct Admission / Merit-Based Admission

📝 Exam Details

(Click on the exam name to see full details)

GATE NIMCET State-level MCA Entrance Exams University Entrance Exams Interview-Based Admission Merit-Based Admission Direct Admission

These programs are ideal for students who want to build advanced AI systems, intelligent assistants, recommendation engines, and machine learning solutions.

Note:

(Age limits, marks, and admission process may vary depending on the college or state.

Below are some colleges that offer these courses.

These courses are available in many colleges and universities across India. You can choose colleges based on your location, budget, and entrance exams.)

🏛️ Colleges offering these courses in India

(Tap on a college to view the details)

After Class 10

MET's Polytechnic College, Thrissur, Kerala Dr. TMA Pai Polytechnic, Manipal, Karnataka Sanketika Polytechnic College, Visakhapatnam, AP Lovely Professional University, Punjab National Institute of Electronics & Information Technology (NIELIT), Punjab

After Class 12

Chandigarh University, Uttar Pradesh Manipal Institute of Technology, Bengaluru Amrita Vishwa Vidyapeetham, Coimbatore Indian Institute of Technology (IIT) Hyderabad Indian Institute of Technology (IIT) Chennai Indian Institute of Technology (IIT) Kharagpur SAGE University, Indore, MP Indian Institute of Space Science and Technology (IIST), Trivandrum, Kerala RV University, Mysore, Karnataka M.S.Ramaiah College of Arts, Science & Commerce, Bengaluru University of Delhi, Delhi Ashoka University, Haryana

After Diploma (Lateral Entry)

Lovely Professional University, Punjab Chandigrah University, Punjab Manipal Institute of Technology, Manipal Chandigarh University, Uttar Pradesh Rayat Bahra University, Punjab

After Graduation (Master's Degrees & Advanced Stacks)

Indian Institute of Technology, Dharwad, Karnataka Indian Institute of Technology, New Delhi SRM University, AP Aditya University, Andra Pradesh Amrita Vishwa Vidyapeetham, Coimbatore Indian Institute of Technology (IIT) Kharagpur, Kharagpur Manipal Institute of Technology (MAHE), Manipal, Karnataka IIT Palakkad, Kerala IIT Kanpur, UP IIT Bombay
STEP 1

Imagine you are working as an AI Engineer.

STEP 2

A company wants to create a chatbot like ChatGPT or Gemini that can answer people's questions.

STEP 3

You build and train the AI system using data, mathematics, and programming.

STEP 4

You test the AI and improve its answers by fixing mistakes and increasing accuracy.

STEP 5

People use the chatbot to get information, solve problems, and learn new things.

STEP 6

If you enjoy technology, mathematics, coding, and problem-solving, this career may suit you.

Where do AI Engineers work? (Job Roles + Growth)

AI Engineers work in : Technology and software companies, AI research organisations, Robotics companies, Healthcare organisations, Financial institutions, e-commerce companies, Automotive companies, Startups, and other Buisness developing AI-powered products and services.

🟢 Beginner Roles

Junior AI / ML Developer

(After Short-Term Course / Online Course)

Writes scripts to prepare data and train basic machine learning models.

AI Engineering Intern

(After Certificate / Diploma / BCA)

Tests AI systems and helps developers evaluate model performance.

Data Annotation Assistant

(After Diploma / Graduation)

Labels images, text, and datasets used for AI model training.

AI Testing Assistant

(After Online Course / Graduation)

Checks AI outputs and helps identify errors and accuracy issues.

🔵 Mid-Level Roles

AI / Machine Learning Engineer

(After BCA / B.Tech / BSc CS + Experience)

Builds machine learning systems and deploys trained models into applications.

Data Scientist (AI Specialization)

(After BCA / B.Tech / BSc CS + Experience)

Analyzes large datasets and improves model accuracy using data insights.

NLP Engineer

(After AI Specialization + Experience)

Develops language models, chatbots, and intelligent text-processing systems.

Computer Vision Engineer

(After Advanced Training + Experience)

Builds AI systems that understand images, videos, and visual data.

🟣 Advanced Roles

AI Solutions Architect

(After MCA / M.Tech + Experience)

Designs large-scale AI systems and secure machine learning infrastructures.

Head of AI / Research Lead

(After Postgraduate Program + Experience)

Guides AI teams and oversees the development of intelligent systems.

AI Product Manager

(After Senior AI Development Experience)

Leads AI projects and manages product strategy from research to deployment.

Artificial Intelligence Companies

Create smart systems that can learn, answer questions, and make decisions.

Chatbot & Virtual Assistant Companies

Create chatbots and virtual assistants that help people find information quickly.

Computer Vision Companies

Create systems that can understand images, videos, and visual information.

Remote AI Engineering Jobs

Build and improve AI systems remotely for international companies.

Healthcare & Medical Technology Companies

Create AI tools that help doctors analyze medical data and support patient care.

Automotive & Robotics Companies

Create intelligent systems used in robots, automation, and smart vehicles.

(Click Yes or No for each question)

1. Do you enjoy using apps and websites that can give smart answers and suggestions?

2. Have you ever wondered how apps like ChatGPT, Gemini, or Google Maps are able to give answers and smart suggestions?

3. Are you interested in using technology to solve real-world problems?

4. Imagine you are working as an AI engineer. An online shopping company wants to understand what its customers like. You create a smart system that finds out what customers are searching for, viewing, and buying. This system helps the company understand what customers like and suggests similar products to them. Now the company has a better idea of what its customers need. Do you like doing this type of work?

5. A company wants to create a chatbot for its website. A chatbot is a computer program that can talk to people and answer their questions. You create a chatbot that understands customers' questions and gives them useful answers. You test the system with different questions and improve it when it gives a wrong answer. Finally, the chatbot is ready to help customers. Are you interested in creating systems like this