AI Full Stack Course
Be the AI Full Stack Professional Learning Front End, Middleware, Backend, and AI Technologies
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AI Full Stack Course
Be the AI Full Stack Professional Learning Front End, Middleware, Backend, and AI Technologies
Languages and Tools covered
Get FREE 1:1 Counselling
Essentials & Web Technologies
This module provides a foundational understanding of web development technologies and programming fundamentals, focusing on the essentials of programming, front-end technologies, and version control systems. Students will learn to build and manage basic web applications using HTML, CSS, and JavaScript while gaining familiarity with Linux and Git.
Fundamentals of Programming
+
- Introduction to Programming Concepts
- Variables and Data Types
- Control Structures (Loops, Conditionals)
- Functions and Modular Programming
HTML & CSS
+
- HTML Basics: Structure, Elements, and Attributes
- CSS Basics: Selectors, Properties, and Styling
- Responsive Web Design with Flexbox and Grid
- Introduction to Web Accessibility
Linux
+
- Introduction to Linux Operating System
- Basic Linux Commands and File System Navigation
- User and Permission Management
- Shell Scripting Basics
Git & GitHub
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- Version Control Systems: Git Overview
- Basic Git Commands: Cloning, Committing, Pushing
- Branching and Merging
- Collaborating on GitHub: Pull Requests and Issues
JavaScript and TypeScript
+
- JavaScript Basics: Syntax, Variables, and Functions
- DOM Manipulation and Event Handling
- Introduction to ES6+ Features
- Getting Started with TypeScript: Types and Interfaces
JavaScript Framework
This module introduces students to modern JavaScript frameworks used for building interactive web applications. Students will choose between React JS or Angular to develop dynamic front-end interfaces that can integrate with AI-powered backends.
React JS
+
- Introduction to React and Component Architecture
- State Management and Props
- React Hooks: useState, useEffect
- Routing with React Router
- Introduction to Redux for State Management
- Integrating AI APIs in React Applications
Angular
+
- Introduction to Angular and MVC Architecture
- Components, Templates, and Data Binding
- Services and Dependency Injection
- Routing and Navigation in Angular
- State Management with NgRx
- AI Service Integration in Angular
AI & Machine Learning Fundamentals
This module introduces the core concepts of artificial intelligence and machine learning, focusing on Python programming for AI, data preprocessing, model development, and evaluation. Students will learn to build and train machine learning models using popular frameworks.
Python for AI/ML
+
- Python Basics for Data Science
- NumPy and Pandas for Data Manipulation
- Data Visualization with Matplotlib and Seaborn
- Working with APIs and Data Sources
Machine Learning Basics
+
- Introduction to Machine Learning Concepts
- Supervised Learning: Regression and Classification
- Unsupervised Learning: Clustering
- Model Evaluation and Validation
- Feature Engineering and Selection
Deep Learning with TensorFlow & Keras
+
- Introduction to Neural Networks
- Building Deep Learning Models with TensorFlow
- Keras API for Model Development
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transfer Learning and Pre-trained Models
Computer Vision with OpenCV
+
- Introduction to Computer Vision
- Image Processing with OpenCV
- Object Detection and Recognition
- Image Classification Models
Natural Language Processing
+
- Text Preprocessing and Tokenization
- Sentiment Analysis
- Text Classification
- Introduction to Transformers and LLMs
Project Deployment
This module covers the essentials of deploying web applications and AI models, focusing on virtual machines, deployment tools, and cloud services. Students will learn how to deploy their projects using Linux and cloud platforms, manage load balancing, and configure firewalls.
Essentials of Deployment
+
- Introduction to Deployment: Concepts and Strategies
- Setting Up a Development Environment
- CI/CD Pipelines
- Containerization with Docker
Virtual Machines
+
- Introduction to Virtualization and Virtual Machines
- Setting Up Virtual Machines with VMware/VirtualBox
- Deploying Web Applications on Virtual Machines
Cloud Deployment (AWS/Azure)
+
- Deploying Applications on Cloud Platforms
- AI Model Deployment on Cloud
- Serverless Architecture for AI Applications
- Managing Cloud Resources
Load Balancing & Firewall Configuration
+
- Understanding Load Balancing and Its Importance
- Setting Up Load Balancers (HAProxy, NGINX)
- Configuring Firewalls for Web Security
Database
This module introduces the core concepts of databases, focusing on both relational and non-relational databases. Students will learn how to design, query, and manage databases using MySQL and MongoDB, with special focus on storing and retrieving data for AI applications.
MySQL (RDBMS)
+
- Introduction to Relational Databases
- Designing Database Schemas
- SQL Basics: SELECT, INSERT, UPDATE, DELETE
- Joins, Indexes, and Query Optimization
- Database Backup and Recovery
MongoDB
+
- Introduction to NoSQL and MongoDB
- Document-Oriented Database Concepts
- CRUD Operations in MongoDB
- Indexing and Aggregation
- Data Modeling and Schema Design
- Storing AI Model Data and Predictions
Backend Development with AI Integration
This module covers the development of server-side applications with AI integration, focusing on RESTful API design, server-side scripting with Node.js, and integrating AI models into backend services. Students will learn to build scalable backend services that can serve AI predictions and manage AI workflows.
REST API
+
- Introduction to RESTful Web Services
- Designing and Implementing REST APIs
- Authentication and Authorization
- API Testing with Postman
- Versioning and Documentation of APIs
- AI Model API Endpoints
Node.js with AI Integration
+
- Introduction to Node.js and Asynchronous Programming
- Building RESTful APIs with Express.js
- Connecting to Databases (MySQL/MongoDB) with Node.js
- Error Handling and Middleware
- Integrating Python AI Models with Node.js
- AI Model Serving and Inference
- Deploying Node.js Applications with AI
AI Full Stack Projects
- 28 Weeks, 84 Sessions Program
- 5 Major Projects with AI Integration & Deployment
- Hybrid Learning Model
- Certification Program
- Internship Included
- Job Placement Assistance
- Hackathon with Certification
- Regular or Weekend Batches
Curriculum
The Curriculum supports step-by-step transformation while building confidence to handle various domain problems.
28 Weeks
Learning content
20+
Languages & Tools
WhyAI Full Stack
AI Full Stack professionals are versatile experts skilled in front-end, back-end, and AI/ML technologies, offering complete intelligent application solutions. This course equips you with essential skills in web development, AI model integration, deployment, and database management to become a highly sought-after professional in the AI industry.
- Front-End Development:
- Learn to build intuitive and responsive user interfaces using the latest front-end technologies, ensuring a seamless user experience for AI-powered applications.
- Back-End Development with AI Integration:
- Gain expertise in server-side programming to manage databases, servers, and application logic, with special focus on integrating AI models and APIs into your applications.
- AI/ML Model Development & Deployment:
- Master AI and machine learning model development using TensorFlow, Keras, and scikit-learn, and learn to deploy these models in production environments.
- Database Management:
- Master database management skills to confidently deploy, debug, and maintain databases for both traditional applications and AI-driven systems.
Your Pathway to Mastery
AI Full Stack Development Learning Path
A comprehensive roadmap to becoming job-ready in AI-powered Full Stack Development.
- HTML/CSS Pre-Videos
- Learn the basics of web development before attending sessions.
- Offline / Online Sessions
- Choose your preferred mode of learning.
- Recorded Sessions
- Access recorded sessions for revision or catch-up.
- Coding Exercises
- Practice coding with hands-on exercises.
- Jupyter Notebooks
- Work with interactive notebooks for AI and backend programming.
- Assignments
- Apply your knowledge through practical assignments.
- Periodical Assessments
- Test your understanding and track your progress.
- Projects - Mini & Major
- Develop AI-powered full-fledged applications to demonstrate your skills.
- Front-end, Back-end & AI Integration
- Master client-side, server-side, and AI model integration.
- AI Model Deployment
- Learn to deploy machine learning models in production environments.
- Interview Preparation
- Prepare for technical interviews with curated questions and answers.
- Final Assessment
- Comprehensive assessment to ensure you are job-ready.
- Job Readiness
- Get ready for the job market with mock interviews, CV preparation, and HR rounds.
Course Information
Become an AI full stack professional to develop cutting-edge intelligent web applications that showcase the skills the market is looking for. This program was designed and developed by industry experts covering the necessary technologies you would need to evolve into an AI-powered full stack professional. This program covers frontend, backend, database, AI/ML model development, and deployment techniques. Post completion of the course you would gain industry-ready skills to be an independent intelligent web application developer. Project-based learning would impart confidence to design, develop, debug, and deploy AI-integrated web applications.
Best AI Full Stack Development Program
The best AI full stack course in Hyderabad? Cedlearn provides comprehensive training in front-end, back-end, and AI/ML technologies including HTML, CSS, JavaScript, Node.js, React, Python, TensorFlow, and more. Learn to build intelligent web applications by integrating AI models, train under industry leaders, and launch your career as an AI-powered full stack professional.
- Easy to learn and Job-ready program
- Our curriculum is structured to ease you into AI-powered full stack development, ensuring you are job-ready by the end of the program with both web development and AI expertise.
- Coding involved
- You will get hands-on with coding from day one, covering everything from basic HTML to advanced JavaScript frameworks, backend programming, and AI model integration.
- Hybrid Learning Model
- Experience a blend of online and offline learning, providing flexible and effective learning opportunities for both web development and AI concepts.
- Minimum Batch Size
- Enjoy personalized attention with our small batch sizes, ensuring that each student gets the guidance they need for complex AI and full stack concepts.
- Job Preparation with Profile building
- Get job-ready with expert guidance on resume building, mock interviews, and portfolio development showcasing both web and AI projects.
- Internships and AI projects
- Gain hands-on experience with internships and real-world AI-powered projects, boosting your practical skills and employability in the AI industry.
- Scholarship Assessments
- Avail of scholarships by taking assessments designed to help you finance your education and reduce your course fees.
Course Highlights
If you're preparing to enhance your skills and knowledge. Our courses emphasize foundational learning, practical implementation through projects, and real-world experience, ensuring you are well-prepared for the challenges of your chosen field. From engaging hybrid learning sessions to hands-on internships, our comprehensive approach is designed to build your confidence and transform your expertise into career-ready skills.
Prepare
Foundation courses designed to bring you up to the speed, irrespective of your background.
Learn
Hybrid Learning to engage learners even before the class for effective knowledge transfer.
Implement
Project-Based Learning for confidence building and transferring knowledge into skills.
Experience
Internships & Job Readiness to give real-time experience and prepare for interviews.
Job for AI Full Stack
As an AI Full Stack professional, you would be eligible to work on cutting-edge applications that combine web development with artificial intelligence. You could lead teams developing intelligent web applications, integrate AI models into production systems, and work on innovative solutions that leverage both front-end, back-end, and AI technologies. The demand for talented AI Full Stack professionals is growing exponentially as organizations seek to build intelligent, data-driven applications. This role offers excellent career growth and competitive compensation.
Contact us
Get in Touch With Us
- Phone number
- 8977944952/53
- hello@cedlearn.com
- DELHI
HYDERABAD
KOCHI
BANGLORE
Business Hours :
Monday - Saturday: 9:00a.m to 8:00p.m
Sunday: With Appointment Only
Send a Message
Write to us. We would catch up with you as soon as we receive your message
scholarship & discounts
We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.