Masters of technology in Artificial Intelligence is postgraduate program where students learn skills in AI tools and understand the AI techniques like neural networks, deep learning, image processing, facial recognition, transfer learning, reinforcement learning, language modeling, recurrent neural networks, supervised learning and many more.

In this course, students work on research projects, practicals and theoretical study in Artificial Intelligence research and applications in industry like healthcare, finance and many more. With the Growing demand in the industry of Artificial Intelligence professional, this course offers you many opportunities with high -scale package in different fields.

Students in Masters of Technology in Artificial Intelligence focus on:

• Machine Learning
• Deep Learning
• Artificial Intelligence Fundamentals
• Machine and Mechanics
• Robotics Control System
• Artificial Intelligence and Neural Network
• Image processing and Machine Vision
• Natural Language Processing
• Data Structures and Algorithms
• Probability and Statistics
• Software Engineering
• Linear Algebra and Optimization
• Electronics system Design
• Robotics Based Industrial Automation
• Robot Vision

In this program, Students basically focus on programming skills and applications of Artificial Intelligence.

Careers (job profile and salaries) 

See below some job profiles with average salaries as per your interest.

• AI Engineer

Job profile: It design and deploy AI models, train AI models and integrate models with software applications, AI Engineer also collaborate with cross-functional teams. 

Salary for this job profile: ₹8-₹40 lakhs per annum (Average salary)

• Data Scientist

Job profile: Data Scientist analyzes, and visualizes data. It develops predictive models and communicates with stakeholders.

Salary for this job profile: ₹10-₹80 lakhs per annum (Average salary)

• AI Researcher

Job profile: AI researcher focus on creating algorithms, models and systems. It also explore AI applications in various industries and collaborates with engineers and data scientist.

Salary for this job profile: ₹8-₹60 lakhs per annum (Average salary)

• Computer Vision Engineer

Job profile:  Computer Vision Engineer develops artificial intelligence systems, algorithms for image enhancement and feature extraction.

Salary for this job profile: ₹9-₹35 lakhs per annum (Average salary)

• NLP Specialist

Job profile:  The Role of NLP Specialist is to integrating NLP capabilities into applications like chatbots and voice assistants.  It also play crucial role in developing intelligent systems which interacts with human language.

Salary for this job profile: ₹8-₹35 lakhs per annum (Average salary)

• Robotics Engineer

Job profile: The responsibility of Robotics Engineer is to design, develop and deploy intelligent systems and implement artificial intelligence for robot perception.  

Salary for this job profile: ₹10-₹30 lakhs per annum (Average salary)

• Business Intelligence Engineer

Job profile: It creates reports, dashboards and visualizations. Business Intelligence Engineer collaborates with business stakeholders to identify their needs and requirements.

Salary for this job profile: ₹8-₹25 lakhs per annum (Average salary)

• AI Consultant

Job profile: It identifies AI opportunities and oversees AI projects. AI consultant also ensures seamless AI integration with existing systems.

Salary for this job profile: ₹15-₹50 lakhs per annum (Average salary)

• Data Analyst

Job profile:  Data Analyst gathers data from various sources and creates reports, dashboards and charts. It also presents findings to stakeholders.

Salary for this job profile: ₹6-₹20 lakhs per annum (Average salary)

• Machine Learning Engineer

Job profile: Machine Learning Engineer collects and prepares data. It also develops and deploy artificial intelligence and Ml models to solve problems,

Salary for this job profile: ₹8-₹40 lakhs per annum (Average salary)

After Masters of Technology in Artificial Intelligence:

1. Ph.D. in different fields

1. Ph.D. in Artificial Intelligence
2. Ph.D. in Machine Learning
3. Ph.D. in Deep learning
4. Ph.D. in computer vision
5. Ph.D. in Natural Language Processing
6. Ph.D. in Robotics
7. Cognitive Science
8. AI for Healthcare (Interdisciplinary Ph.D.)
9. AI for Finance (Interdisciplinary Ph.D.)
10. Human-computer Interaction (Interdisciplinary Ph.D.)
11. Data Science (Interdisciplinary Ph.D.)

1. Postdoctoral Research in AI-related areas
2. Certification Courses

1. Certified AI Engineer
2. Certified Data Scientist
3. Ai for Social Good Fellowship
4. Google AI Impact Challenge
5. Microsoft AI Research Fellowship

Top Hiring companies

• Amazon
• NVIDIA
• Samsung Research
• DeepMind
• TensorFlow
• Baidu
• Alibaba Group
• Wipro
• Infosys
• Boston Dynamics
• Waymo
• Denso
• Tesla
• PayPal
• Citigroup
• IBM Watson Health
• Google Cloud Healthcare
• Goldman Sachs
• Stripe
• Accenture

FAQs:

Q: What are the job profiles in Masters of Technology in Artificial Intelligence Course?

• AI Engineer
• Data Scientist
• AI Researcher
• Computer Vision Engineer
• NLP Specialist
• Robotics Engineer
• Business Intelligence Developer
• AI Consultant
• Data Analyst
• Machine Learning Engineer

Q:  Are there any scopes for higher studies after completing Masters of Technology in Artificial Intelligence?

A:  Yes, students can pursue their higher studies in Ph.D., (Interdisciplinary Ph.D.), Postdoctoral research and certification courses in different fields.