Post Graduate Program in AI & Machine Learning (Live Online)

Categories: AI & Machine Learning
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About Course

Sample Certificate Click here

 

Batch Dates
Batch Dates (January, 2024 to December, 2024)
January 6-Jan-2024 13-Jan-2024 20-Jan-2024 27-Jan-2024
February 4-Feb-2024 11-Feb-2024 18-Feb-2024 25-Feb-2024
March 3-Mar-2024 10-Mar-2024 17-Mar-2024 24-Mar-2024
April 7-Apr-2024 14-Apr-2024 21-Apr-2024 28-Apr-2024
May 5-May-2024 12-May-2024 19-May-2024 26-May-2024
June 2-Jun-2024 9-Jun-2024 16-Jun-2024 23-Jun-2024
July 7-Jul-2024 14-Jul-2024 21-Jul-2024 28-Jul-2024
August 4-Aug-2024 11-Aug-2024 18-Aug-2024 25-Aug-2024
September 8-Sep-2024 15-Sep-2024 22-Sep-2024 29-Sep-2024
October 6-Oct-2024 13-Oct-2024 20-Oct-2024 27-Oct-2024
November 3-Nov-2024 10-Nov-2024 17-Nov-2024 24-Nov-2024
December 8-Dec-2024 15-Dec-2024 22-Dec-2024 29-Dec-2024

Embark on a transformative educational journey with KAE Education’s Post Graduate Program in Artificial Intelligence and Machine Learning. This cutting-edge program is designed to equip aspiring professionals and recent graduates with the skills and knowledge needed to excel in the rapidly evolving fields of AI and machine learning.

Key Features:
  1. Comprehensive Curriculum: Delve into a well-structured curriculum that covers foundational principles, advanced algorithms, and real-world applications of AI and machine learning.
  2. Expert Faculty: Learn from seasoned industry professionals and leading academics who bring a wealth of experience to the classroom, ensuring a practical and relevant learning experience.
  3. Hands-on Projects: Apply theoretical concepts to real-world scenarios through hands-on projects, giving you practical experience and building a strong portfolio.
  4. Industry-Relevant Skills: Acquire in-demand skills such as data analysis, deep learning, natural language processing, and computer vision, ensuring you are well-prepared for the demands of the AI and machine learning job market.
  5. Internship Opportunities: Benefit from internship placements or collaborative projects with industry partners, providing valuable industry exposure and networking opportunities.
  6. State-of-the-Art Facilities: Access cutting-edge tools and technologies in a conducive learning environment, fostering an immersive and interactive educational experience.
  7. Career Support: Receive dedicated career support services, including resume building, interview preparation, and job placement assistance, to help you seamlessly transition into a rewarding career in AI and machine learning.
  8. Global Network: Join a diverse and dynamic student community, and tap into KAE Education’s extensive network of alumni and industry connections.

Whether you aspire to become a machine learning engineer, data scientist, or AI researcher, the Post Graduate Program in AI & Machine Learning at KAE Education is designed to propel you towards a successful and fulfilling career in these exciting and rapidly advancing fields. Unlock your potential and shape the future of technology with KAE Education’s comprehensive and industry-focused program.

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What Will You Learn?

  • Understand the basic concepts and principles that form the foundation of artificial intelligence and machine learning.
  • Explore the history and evolution of AI and its various subfields.
  • Develop a strong grasp of statistical and mathematical concepts essential for data analysis and machine learning algorithms.
  • Gain proficiency in programming languages commonly used in AI and ML, such as Python.
  • Learn to use popular libraries and frameworks like TensorFlow and PyTorch for building machine learning models.
  • Study a variety of machine learning algorithms, including supervised and unsupervised learning techniques.
  • Understand regression, classification, clustering, and reinforcement learning.
  • Dive into the field of deep learning, exploring neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transfer learning.
  • Explore the fascinating realm of NLP, covering topics like sentiment analysis, named entity recognition, and language translation.
  • Gain insights into computer vision applications, image recognition, object detection, and image segmentation.
  • Understand the intersection of big data and AI, exploring techniques for processing and analyzing large datasets
  • Apply your knowledge through hands-on projects, solving real-world problems and gaining practical experience.
  • Discuss the ethical considerations and responsible practices in AI development and deployment.
  • Work on a comprehensive capstone project that allows you to showcase your skills and creativity in solving a complex problem.
  • Stay abreast of the latest trends, emerging technologies, and applications in the rapidly evolving field of AI and ML.

Course Content

Module 1: Introduction to AI and Machine Learning

  • Overview of Artificial Intelligence and Machine Learning
  • Evolution and Applications
  • Importance in Industry and Research
  • Key Concepts and Terminology

Module 2: Python Programming for ML

Module 3: Data Preprocessing and Exploratory Data Analysis

Module 4: Supervised Learning

Module 5: Unsupervised Learning

Module 6: Deep Learning Fundamentals

Module 7: Natural Language Processing (NLP)

Module 8: Reinforcement Learning

Module 9: AI in Practice

Module 10: Capstone Project

Module 11: Advanced Topics

Module 12: Exam Preparation and Certification