TensorFlow – Use in AI Course

Course Overview

TensorFlow – Use in AI is a 12-week advanced course designed for M.Tech, M.Sc, and MCA students, as well as professionals in IT, BFSI, consulting, and fintech. This comprehensive course covers everything from foundational concepts to advanced applications of TensorFlow in artificial intelligence (AI) and machine learning (ML). Through hands-on learning, participants will build, train, and deploy sophisticated models to tackle real-world problems across industries.

Course Goals

The primary aim of this course is to provide participants with a deep understanding of TensorFlow and its capabilities in AI. By focusing on practical applications, participants will gain the skills to develop and deploy advanced machine learning models.

Program Objectives

• TensorFlow Mastery: Acquire in-depth knowledge of TensorFlow and its role in AI development.
• Practical Application Skills: Hands-on experience in building, training, and deploying AI models using TensorFlow.
• Innovation in AI: Learn to innovate and solve complex problems with TensorFlow across various industries.

Program Structure

• Module 1: Introduction to TensorFlow
  • Overview of TensorFlow’s role in AI
  • Setting up the environment and basic programming with TensorFlow
• Module 2: Basic Concepts in TensorFlow
  • Understanding tensors and TensorFlow data types
  • Building simple neural networks from scratch
• Module 3: Advanced TensorFlow
  • Exploring advanced architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
  • Debugging and optimizing TensorFlow models for better performance
• Module 4: TensorFlow in Production
  • Strategies for deploying TensorFlow models in cloud and edge environments
  • Model monitoring, scaling, and maintenance in production
• Module 5: Real-World Applications of TensorFlow
  • TensorFlow applications in industries like healthcare, retail, and emerging fields like art and music
  • Case studies on how TensorFlow has been used to innovate and solve industry-specific challenges
• Module 6: Project and Implementation
  • Capstone project: Design and implement a TensorFlow-based AI solution tailored to an industry of your choice
  • From conception to deployment, apply TensorFlow to solve a real-world problem

Eligibility

• Students: M.Tech, M.Sc, MCA students in AI, data science, or computer science.
• Professionals: Those in IT, BFSI, consulting, fintech, and related fields looking to enhance their AI skills with TensorFlow.

Learning Outcomes

• Advanced TensorFlow Skills: Master TensorFlow for developing and deploying sophisticated AI models.
• Strategic AI Implementation: Gain the ability to strategically deploy TensorFlow models in real-world applications.
• Leadership in AI: Enhance your ability to lead AI initiatives and projects using TensorFlow in various industries.