banner

Complete hands-on machine learning tutorial with data science, TensorFlow, artificial intelligence, and neural networks


 The course curriculum covers all the concepts to gain real-time proficiency in core essentials of machine learning, machine learning fundamentals, learn about the supervised and unsupervised learning, algorithms, support vector machines,  etc. Moreover with comprehensive training helps to gain expertise in this comprehensive field so as to accomplish your daily tasks for ease. 





Are you eligible for the scholarship?

Artificial Intelligence and Machine Learning



This level hands-on course explores the field of artificial intelligence (AI), programming, logic and machine learning (ML)  understanding. You'll learn current AI and ML methods, tools, techniques, and their application to computational problems.

  • icon

    Training by Industry Experts

  • icon

    In-depth Practical Training

  • icon

    On the Job ProjectTraining

  • icon

    Classroom & Online Classes

  • icon

    Self Assessment Programs

  • icon

    Duration 3 Months

  • icon

    Price ₹ 66000

Highlights

  • 100% Live Instructor-led & Expert Classes

  • Practical Hands-on Learning Session

  • Gamified &
    Interactive Learning

  • Extensive coverage data engineering and MLOPs

  • Discussion Forums and Community

  • Career Assistance and Workshops

  • 10+ Industry Projects & Case Studies

  • Assured Placement on Full-Time program


Program
Duration

3
Months

Program
Duration

90
Days

Total
Efforts

480
Hours

Total weekly
Effort

40
Hours


100%

Placement Assurance



PROGRAM CURRICULUM

Syllabus

The program Covers Introduction to Artificial Intelligence, Machine Learning and Deep Learning,  Types of Machine Learning,  Mathematics and Statistics for ML,  Python for ML,  NumPy and Pandas,  Matplotlib/Seaborn,  Data Preparation and Feature Engineering,  Popular ML Algorithms and other core topics of Artificial Intelligence and Machine Learning along with a Final project.

  • Introduction to Artificial Intelligence

  • Machine Learning and Deep Learning

  • Types of Machine Learning

  • Mathematics and Statistics for ML

  • Python for ML

  • NumPy and Pandas

  • Matplotlib/Seaborn

  • Data Preparation and Feature Engineering

  • Popular ML Algorithms

  • Model Selection

  • training and Evaluation

  • Neural Networks

  • Frameworks

  • Final project

Project

Get hands-on learning by working on projects of some of the finest companies around the world! Below are some of our sample projects.

Learn more about the program by our
Expert Learning
Consultant