Program

Keras – Use in AI

Keras, AI, neural networks, deep learning, model training, image recognition, time series analysis, model deployment, real-world AI applications

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MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Advanced
DURATION
8 weeks

Batches

Spring
Summer

Live

Autumn
Winter

Program Aim

This course aims to provide a thorough understanding of Keras as a powerful tool for developing and deploying advanced neural network models, enhancing participants’ capabilities in AI.

About Program

Keras – Use in AI is a detailed 8-week course designed for individuals keen on diving deep into neural networks and their applications using Keras. It is tailored for M.Tech, M.Sc, and MCA students as well as professionals in the IT and related fields who are aspiring to integrate deep learning into their projects effectively.

Program Objectives

  • Mastering Keras: Gain comprehensive knowledge of Keras for building and deploying neural network models.
  • Practical Application Skills: Develop practical skills in configuring, training, and optimizing deep learning models using Keras.
  • Innovative Problem Solving: Enhance problem-solving capabilities with advanced AI techniques.

Program Structure

  1. Introduction to Keras and AI:
    • Fundamentals of Keras and its advantages in AI development.
    • Initial setup, configuration, and building the first model.
  2. Core Concepts of Neural Networks in Keras:
    • Understanding neural network basics, layers, architectures, and the unique APIs of Keras.
  3. Practical AI Projects with Keras:
    • Hands-on building of CNNs for image recognition and RNNs for time series analysis.
    • Techniques for optimizing model training and performance.
  4. Advanced Techniques and Strategies in Keras:
    • Exploration of callbacks, checkpoints, and advanced model configurations.
    • Strategies for effective model deployment and scalability.
  5. Integrating AI into Business Solutions:
    • Application of AI in real-world scenarios such as retail and healthcare.
    • Discussion on ethical considerations and future AI trends with Keras.

Participant’s Eligibility

  • Advanced students and professionals in M.Tech, M.Sc, and MCA programs, especially those in IT and related fields.
  • E0 & E1 level professionals seeking to enhance their deep learning skills with Keras.

Program Outcomes

  • Advanced Keras Skills: Ability to utilize Keras for advanced AI model development and deployment.
  • Strategic AI Implementation: Skills to strategically deploy Keras models to solve real-world problems.
  • Leadership in AI: Preparedness to lead AI projects and initiatives using Keras.


Fee Structure

Standard Fee:           INR 49,998           USD 1,300

Discounted Fee:       INR 24999             USD 650

Certificate

Program Assessment

  • Assignments: Practical exercises after each module to apply learned concepts.
  • Quizzes: Multiple-choice and short-answer quizzes to assess understanding.
  • Final Project: Implementation of a Keras-based AI model tailored to address a specific industry challenge.

Program Deliverables

  • Hands-on Experience: Direct application of Keras in building complex models.
  • Live Coding Sessions: Interactive sessions to tackle real-time problems and model building.
  • Case Studies: Learning from real-world applications of Keras in various industries.

Placement Assistance

  • Job Placement Support: Guidance and support in securing positions that require expertise in Keras and deep learning.
  • Industry Partnerships: Collaboration with companies invested in AI technologies, providing insights and potential project opportunities.
  • Expert Networks: Access to a community of AI professionals and industry leaders.

Future Career Prospects

  • Deep Learning Specialist: Specializing in creating and deploying models using Keras.
  • AI Product Manager: Managing AI product development with a focus on implementing Keras.
  • Data Scientist: Leveraging Keras for innovative data analysis and model creation.

Still have any Query?