Master in Artificial Intelligence And Machine Learning

78%

Alumni Career Transitions

5200+

Hiring Partners

60%

Avg Salary Hike

22

Years of R & D in Syllabus

Artificial Intelligence and Machine Learning are top-tier digital skills driving innovation in areas like self-driving cars, speech recognition, and web search. This program blends theory, hands-on projects, and mentorship to teach AI/ML fundamentals, Python, deep learning, generative AI, NLP, and more, preparing you for real-world applications.

Master in Artificial Intelligence And Machine Learning - Syllabus
Key Roles in Artificial Intelligence and Machine Learning
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Data Scientist
  • Deep Learning Specialist
  • NLP Engineer
  • Computer Vision Engineer
  • AI Research Scientist
  • AI Product Manager
  • Generative AI Specialist
Projects

We have a project based learning system. Students can choose any domains for their projects. Some of the domains are :

  • E Commerece
  • ERP
  • Real Estate Management
  • Hospital Management System

Certifications & Accreditations

Route Map

Comprehensive Curriculum

6 Months +

Learning Content + Practicals

FAQ For Master in Artificial Intelligence And Machine Learning

What is the focus of this course?
This course focuses on equipping students with advanced knowledge in artificial intelligence (AI) and machine learning (ML), covering topics like deep learning, natural language processing, computer vision, and AI-powered system development.
  • Aspiring AI/ML professionals.
  • Data scientists looking to specialize in AI.
  • Software engineers and IT professionals aiming to transition to AI roles.
  • Strong foundation in mathematics (linear algebra, calculus, probability, and statistics).
  • Programming experience, preferably in Python.
  • Basic understanding of algorithms and data structures.
  • Fundamentals of AI and ML.
  • Supervised, unsupervised, and reinforcement learning.
  • Deep learning with neural networks.
  • Computer vision and image processing.
  • Natural language processing (NLP).
  • AI model deployment and optimization.
  • Ethics and applications of AI.

Yes, students will work on real-world projects such as:

  • Building AI-powered chatbots.
  • Image classification using CNNs.
  • Sentiment analysis with NLP.
  • Predictive analytics for business use cases.

Yes, AI/ML skills are in high demand across industries like healthcare, finance, e-commerce, automotive, and entertainment.

  • AI Frameworks: TensorFlow, PyTorch.
  • Data Manipulation: Pandas, Numpy.
  • Visualization: Matplotlib, Seaborn.
  • Cloud Platforms: AWS, Google Cloud, or Azure AI.

Yes, the course includes deploying AI models using Flask, FastAPI, and cloud platforms.

Yes, you’ll learn how to integrate AI and ML models into existing applications using APIs and microservices.

Yes, SMEC Technologies provides:

  • Resume building and interview preparation
  • Connections with hiring partners in the IT industry
  • Internship opportunities for practical exposure

Visit smectechnologies.in to register or contact the admissions team for assistance.

Yes, flexible payment options and installment plans are available.