Course Overview:

This comprehensive Full Stack AI Development course in Hyderabad is designed to equip students with the skills and knowledge needed to build end-to-end AI applications. The course covers both front-end and back-end development, focusing on integrating AI technologies into various software solutions.

Participants will gain hands-on experience in developing, and maintaining AI-driven applications

Duration – 45Hrs 

Timing -  

Batch 1 online -- 6pm-7pm (Mon-Fri) 

Batch 2 online – 7:15 pm – 8:15 pm (Mon-Fri) 

Offline - weekend class from Techasoft HSR office 

Every Monday a New batch starts 

We are starting AI/ML OPS based Training from dec 1st week - course Duration 45Hr .  

Normal cost 15K, for college discount we can offer 9K per student for students count 20 and above.  

Prerequisites:

• Basic understanding of programming languages (Python proficiency preferred)

• Familiarity with web development concepts (HTML, CSS, JavaScript)

• Fundamental understanding of machine learning concepts

Module 1: Introduction to AI Development

• Overview of Full Stack AI Development

• Understanding the role of AI in modern applications

• Introduction to popular AI frameworks and libraries

Module 2: Front-End Development for AI Applications

• HTML, CSS, and JavaScript fundamentals

• Introduction to front-end frameworks (React, Angular, or Vue.js)

• Integrating AI into web interfaces

Module 3: Back-End Development for AI Applications

• Server-side programming (Node.js, Django, Flask)

• Building RESTful APIs for AI functionality

• Database integration and management

Module 4: Fundamentals of Machine Learning

• Introduction to machine learning algorithms

• Data preprocessing and feature engineering

• Model training and evaluation

Module 5: Deep Learning and Neural Networks

• Understanding neural networks architecture

• Introduction to deep learning frameworks (TensorFlow, PyTorch)

• Building and training deep learning models

Module 6: Deploying AI Models

• Model deployment strategies (cloud services, containers)

• Using platforms like TensorFlow Serving and Flask for deployment

• Managing and monitoring deployed models

Module 7: Integrating AI into Full Stack Applications

• Connecting front-end and back-end components

• Implementing real-time data exchange with AI models

• Building responsive and user-friendly AI-driven interfaces

Module 8: Security and Ethics in AI Development

• Understanding ethical considerations in AI

• Implementing security measures for AI applications

• Handling and securing sensitive data

Module 9: Optimization and Performance

• Techniques for optimizing AI models

• Scaling AI applications for increased performance

• Monitoring and improving application efficiency

Module 10: Advanced Topics in Full Stack AI Development

• Reinforcement learning applications

• Natural language processing (NLP) in full-stack development

• Exploring cutting-edge AI technologies

Project Work:

Participants will work on a comprehensive final project that involves developing a full-stack AI application from scratch. This project will incorporate concepts learned throughout the course, showcasing their ability to build, deploy, and maintain AI-driven software.

Assessment:

• Weekly assignments and quizzes

• Mid-term project milestone assessments

• Final project presentation and evaluation

By the end of this Full Stack AI Development course in Hyderabad, participants will have a strong foundation in both front-end and back-end development, coupled with the ability to integrate AI technologies effectively into their applications.