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AI Full Stack Development Course

Rated 5 out of 5

Infibee Technologies offers India’s No.1 AI Full Stack Development Training with Global Certification and Real-Time Projects Training.

Begin your career with AI Full Stack Development Course, guided by 10 + years of industry-experienced experts with affordable AI Fullstack Development Course fees, mock projects, resume preparation, interview preparation, practical learning, and lifetime access to recorded live sessions.

Join our AI Full Stack Development Training Institute and ignite your AI Fullstack Development career future with high-paying jobs in top companies.

Other related AI Full Stack Development Training include:

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AI Full Stack Development Overview

Infibee’s AI Full Stack Development Course is designed to help learners build complete AI-powered applications from frontend interfaces to backend services, databases, APIs, AI models, deployment, and cloud infrastructure. The AI Full Stack Development Training program teaches students core software development skills which they then use to create Generative AI systems that work with LLMs and RAG and AI agents and APIs and contemporary application development methods.

The automation platform UiPath enables users to create business process automation systems through its design and development and management features. The primary function of UiPath centers on RPA operations yet students can benefit from automation knowledge because it enables them to connect AI-based systems with automated operational procedures.

Brief Explanation About AI Full Stack Development

AI Full Stack Development requires developers to build complete applications which include user interfaces and server logic and database management and API connectivity and cloud operation and AI system integration. AI Full Stack solutions enable staff in material management to forecast inventory levels and they can use intelligent search systems and automated document processing and demand analysis and recommendation systems and business process automation.

Importance of UiPath

UiPath enables users to learn about workflow automation and process orchestration and integration systems and enterprise automation through its platform. Organizations can apply these concepts to AI development by uniting AI-based applications with automated business systems.

Purpose of AI Full Stack Development Course

The course aims to teach students essential practical abilities which enable them to create full-stack applications with AI capabilities and perform their testing and deployment and maintenance operations.

Contemporary software applications now use AI technology together with their traditional software development methods. The AI Full Stack Development Training program teaches students about every stage of software development through its instruction on frontend and backend programming and database management and API development and AI system integration and cloud deployment and security implementation.

How the Course Helps Students and Professionals

This course offers students hands-on experience with Python programming and frontend development and backend system creation and database management and REST API usage and LLM integration and RAG application development and AI agent implementation and authentication systems and deployment methods and cloud platform operations. Students in the program can create portfolio projects which prove their ability to combine software development methods with AI system integration techniques.

Industry Demand for AI Full Stack Development Professionals

Organizations across technology, finance, healthcare, retail, manufacturing, education, logistics, and e-commerce are incorporating AI into digital products and internal applications. Professionals who understand both full-stack engineering and AI integration can contribute to building production-oriented intelligent applications.

Importance in Industries, Industries Using AI Full Stack Development & Future Scope

AI Full Stack Development is applicable to IT services, banking and finance, healthcare, e-commerce, manufacturing, logistics, education, telecommunications, media, and SaaS. Applications include AI chatbots, intelligent dashboards, recommendation engines, document-processing systems, predictive applications, enterprise copilots, and AI-powered customer platforms. The future scope includes LLM applications, agentic AI, multimodal applications, AI-powered SaaS, RAG systems, cloud-native AI applications, and intelligent enterprise platforms.

AI Full Stack Development Course Topics, Applications & Tools

AI Full Stack Development Course Topics Covered Applications of AI Full Stack Development Course Tools Used
Python Programming AI-powered web applications Python
HTML, CSS & JavaScript Intelligent dashboards HTML, CSS, JavaScript
React / Frontend Development AI chatbots and assistants React
Backend Development AI-enabled enterprise applications FastAPI / Flask / Node.js
REST API Development AI API integrations REST APIs, Postman
Database Management Intelligent data applications MySQL / PostgreSQL / MongoDB
Generative AI Fundamentals Generative AI applications LLM APIs
Large Language Models AI assistants and copilots OpenAI / Gemini / Claude APIs
Prompt Engineering AI content and workflow applications Prompting frameworks
RAG Development Knowledge-based AI applications LangChain / vector databases
AI Agent Development Autonomous task workflows Agent frameworks
Authentication & Security Secure AI applications JWT, OAuth
Cloud Deployment Scalable AI applications AWS / Azure / Google Cloud
DevOps & Deployment Production application deployment Git, GitHub, Docker
AI Application Testing Quality and reliability testing Postman, testing frameworks
Capstone Projects End-to-end AI full-stack products GitHub, Docker, Cloud platforms

Why Choose Infibee Technologies for an AI Full Stack Development Course?

Infibee Technologies provides industry-focused AI Full Stack Development Training designed around practical application development and current AI technologies. The training approach combines instructor-led learning, coding practice, real-time projects, AI integrations, deployment concepts, and career-oriented guidance.

Key Highlights

  • Industry-focused AI Full Stack Development Course Classes
  • Experienced trainers with practical technology exposure
  • Hands-on development and real-time project learning
  • Python, frontend, backend, database and API development
  • Generative AI and LLM application development
  • RAG and AI agent implementation
  • Cloud and application deployment exposure
  • Practical assignments and portfolio projects
  • Certification preparation and guidance
  • Resume and interview preparation
  • Placement assistance
  • Classroom and online learning options
  • Weekday and weekend training options
  • Beginner-friendly to advanced learning path

Best AI Full Stack Development Course – Get Certified with Infibee Technologies

Infibee Technologies – India’s leading AI Full Stack Development Course Institute, offering industry-focused training that combines software engineering, Generative AI, LLMs, APIs, databases, cloud technologies, and real-time application development. The program guides students through the development process of functional AI-based solutions which they will create by working on both frontend and backend development before completing the deployment stage.

Experienced Trainers

Trainers bring their industry knowledge which they gained during their 10 years of work experience in software development and AI technology implementation and API management and cloud platform operations and application engineering. The training program teaches students through hands-on practice which includes coding rules and architectural design and debugging methods and actual software development techniques that show how AI applications reach their final production stage.

Real-Time Project Exposure

AI Full Stack Development Training program lets students work on actual projects which teach them to build frontend interfaces and backend services and databases and REST APIs and AI model integration and RAG applications and chatbots and AI agents and deployment systems. Learning through projects enables students to use their knowledge while they create applications which they can show in their portfolios.

Certifications and Company Background

Infibee Technologies offers technical training which enables students to reach their career goals through its organized curriculum and hands-on learning activities and expert project assistance and certification guidance and professional resume development and interview readiness training. The program enables students to obtain worldwide technology certifications which match their AI and cloud and machine learning and application development competencies.

Affordable Course Fees

The AI Full Stack Development Training program at Infibee Technologies provides students and working professionals and beginners and people changing careers with affordable educational choices which help them get industry-relevant technical knowledge.

Teaching Methodology

The educational approach combines instructor-led classes with live coding sessions and demonstrations and hands-on activities and student assignments and project work and question-answer sessions and practical application training. The course guides students through three stages of learning which start with basic concepts before reaching advanced AI system implementation and operational deployment with continuous instructor support.

Infibee Technologies has successfully placed 500+ students in leading MNCs and top software companies, with placement support focused on helping learners prepare for relevant technology career opportunities.

Global Certifications Available for AI Full Stack Development Course

S.No. Certification Code Global Certification Approx. Cost in INR* Certification Expiry
1 AI-103 Microsoft Certified: Azure AI Apps and Agents Developer Associate ₹4,865* 1 year
2 AI-200 Microsoft Certified: Azure AI Cloud Developer Associate ₹15,000 approx.* 1 year
3 MLA-C02 AWS Certified Machine Learning Engineer – Associate ₹12,830 approx.** 3 years
4 Professional ML Engineer Google Cloud Professional Machine Learning Engineer ₹16,700 approx.* 2 years
5 GH-600 GitHub Certified: Agentic AI Developer ₹15,000 approx.* Subject to Microsoft/GitHub credential terms

Who Can Join?

  • Freshers and graduates from Computer Science, IT, Engineering, or related fields
  • Software developers looking to add AI development skills
  • Full-stack developers interested in Generative AI
  • Python developers
  • Web developers
  • Backend and frontend developers
  • Data and AI professionals
  • Cloud and DevOps professionals
  • Automation professionals moving toward AI development
  • Working professionals seeking career advancement
  • Professionals planning an AI-focused career transition
  • Entrepreneurs and developers building AI-powered products

Career Opportunities in AI Full Stack Development Course

Experience Level AI Full Stack Development Job Role Indicative Salary Range
Freshers / Junior (0–3 years) Junior AI Full Stack Developer 3–6 LPA
AI Application Developer 4–7 LPA
Junior Generative AI Developer 4–7 LPA
Full Stack AI Developer 4–8 LPA
Mid-Level (4–8 years) AI Full Stack Developer 7–12 LPA
Senior AI Application Developer 8–14 LPA
Generative AI Application Developer 8–15 LPA
AI Full Stack Technical Lead 10–18 LPA
Senior / Experienced (9+ years) Principal AI Full Stack Developer 15–25 LPA
AI Solutions Architect 18–30 LPA
Lead AI Application Architect 18–30 LPA
AI Full Stack Consultant 20–35 LPA
Specialized Roles RAG Application Developer 8–18 LPA
AI Agent Developer 10–20 LPA
LLM Application Engineer 10–22 LPA
AI Platform Engineer 12–25 LPA
AI Application Security Specialist 10–22 LPA
Multimodal AI Developer 10–22 LPA

Who’s Hiring Advanced AI Full Stack Development Professionals?

  • Microsoft
  • Amazon / AWS
  • Google / Google Cloud
  • IBM
  • Accenture

Can I Study for an AI Full Stack Development Course in Other Locations?

Yes! Infibee Technologies offers AI Full Stack Development Course learning options across major cities, subject to current batch availability:

With expert trainers, practical learning, project exposure, certification guidance, and placement assistance, Infibee Technologies provides AI Full Stack Development Training options for learners across India.

Learners searching for AI Full Stack Development Course Training near me, AI Full Stack Development Course near me, or an AI Full Stack Development Course Training Institute near me can explore the available classroom and online training options based on their location and preferred schedule.

How to Register for the AI Full Stack Development Course at Infibee Technologies?

Step 1: Register for a Free Demo

Visit the Infibee Technologies website and submit the inquiry form. Attend a free demo session to understand the curriculum, training methodology, project approach, and learning structure.

Step 2: Select Your Training Mode

Choose a suitable learning format such as classroom, online, weekday, weekend, fast-track, or corporate training. Confirm the batch schedule according to your availability.

Step 3: Start Your AI Full Stack Development Course Journey

Begin your learning journey with expert instructors, practice through coding assignments and real-time projects, build AI-powered applications, strengthen your portfolio, and prepare for relevant AI Full Stack Development Course certification and career opportunities.

Enroll Today: Unlock Your AI Full Stack Development Course Potential!

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Why People Choose Infibee ?

Upcoming AI Full Stack Development Batches

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Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' wednesday ' ]
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' Friday ' ]
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

AI Full Stack Development Course Syllabus

AI Full Stack Development Training provides comprehensive, hands-on knowledge of building modern web applications integrated with Artificial Intelligence. The course covers frontend development, backend programming, databases, REST APIs, AI/ML integration, Generative AI, LLM APIs, prompt engineering, deployment, and real-world full-stack AI projects.

  • Full Stack Development fundamentals
  • Role of AI in modern applications
  • Client-side vs. server-side development
  • AI-powered application architecture
  • Development environment setup
  • HTML5, CSS3, and JavaScript
  • Responsive web design
  • DOM manipulation and events
  • ES6+ JavaScript
  • React.js fundamentals
  • Components, props, state, and hooks
  • Forms and API integration
  • React routing and application structure
  • Backend architecture and fundamentals
  • Python programming for web development
  • FastAPI / Flask
  • REST API development
  • Authentication and authorization
  • API validation and error handling
  • Middleware and backend security
  • Connecting frontend with backend
  • Relational and NoSQL databases
  • SQL fundamentals
  • PostgreSQL / MySQL
  • MongoDB
  • CRUD operations
  • Database design and relationships
  • ORM concepts
  • Database integration with backend applications
  • AI, ML, and Deep Learning overview
  • Supervised and unsupervised learning
  • Data preprocessing
  • Model training and evaluation
  • Classification and regression
  • Using Python AI/ML libraries
  • Integrating ML models into web applications
  • Generative AI fundamentals
  • Large Language Models (LLMs)
  • OpenAI API integration
  • LLM-based application development
  • Prompt engineering
  • Structured outputs
  • Function/tool calling
  • AI chatbot development
  • AI-powered content generation
  • RAG architecture
  • Document processing
  • Text chunking and embeddings
  • Vector databases
  • Semantic search
  • Building AI knowledge assistants
  • Connecting RAG systems with full-stack applications
  • AI agent fundamentals
  • Agent workflows
  • Tool and API integration
  • Multi-step AI tasks
  • Memory and context management
  • Building AI-powered automation applications
  • REST APIs
  • JSON and HTTP methods
  • Authentication methods
  • Consuming external APIs
  • AI API integration
  • Payment and communication API concepts
  • API testing with Postman
  • Full-stack project architecture
  • Frontend-backend communication
  • Database integration
  • AI model/API integration
  • User authentication
  • Dashboard development
  • Error handling and logging
  • Application optimization
  • Frontend testing fundamentals
  • API testing
  • Backend testing
  • Authentication security
  • Input validation
  • Secure API development
  • Environment variables and secrets
  • Common web application security practices
  • Git and GitHub
  • Version control
  • Docker fundamentals
  • Application configuration
  • Cloud deployment concepts
  • Deploying frontend and backend
  • Database deployment
  • CI/CD fundamentals
  • Monitoring and maintenance
  • AI application architecture
  • Vector databases
  • Embedding models
  • LLM application optimization
  • AI evaluation
  • Model/API cost optimization
  • Scalable AI application design
  • Production-ready AI workflows
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On AI Full Stack Development Projects

Gain practical experience through hands-on AI Full Stack Development projects that combine frontend development, backend programming, databases, APIs, cloud deployment, Generative AI, LLMs, RAG, and AI agents. Learners work on real-world applications such as AI chatbots, intelligent dashboards, recommendation systems, document-processing solutions, AI-powered assistants, and enterprise applications. These projects help students apply coding concepts, integrate AI models, develop secure APIs, manage data, deploy applications, and build portfolio-ready solutions aligned with industry requirements.

AI-Powered Customer Support Chatbot

Build a full-stack AI chatbot using React, Python/FastAPI, databases, and LLM APIs. Students learn to create conversational interfaces, integrate AI responses, manage chat history, implement authentication, and deploy a production-ready customer support application.

RAG-Based Intelligent Document Assistant

Develop an AI-powered document assistant that allows users to upload PDFs and ask questions about their content. The project covers document processing, embeddings, vector databases, RAG architecture, LLM integration, backend APIs, and an interactive React-based frontend.

AI Content Generation & Management Platform

Create a complete AI-powered content platform for generating and managing blogs, product descriptions, social media content, and marketing copy. Students work with React, FastAPI, databases, prompt engineering, LLM APIs, user authentication, and cloud deployment.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Mr. Kumar
Experience
6+ Years
Specialized in
AI Full Stack Development, Generative AI, LLM Application Development, Python, React.js, FastAPI, REST APIs, Machine Learning, RAG, Vector Databases, Prompt Engineering, and Cloud Deployment.
More Details
Mr. Kumar is an industry-experienced AI Full Stack Development trainer with 6+ years of expertise in developing and deploying AI-powered web applications. His training focuses on practical learning, real-time projects, modern AI technologies, full-stack architecture, API integration, and production-ready application development.

AI Full Stack Development Course Training Objectives

The AI Full Stack Development Training is designed to equip learners with practical skills to build, integrate, and deploy AI-powered full-stack applications. Participants will gain hands-on experience in frontend development, backend APIs, databases, Python, React.js, Generative AI, LLMs, RAG, prompt engineering, and AI API integration. The training also focuses on real-time projects, application testing, security, Git, Docker, cloud deployment, and production-ready AI solutions, helping learners develop industry-relevant skills for AI Full Stack Development careers.

You will learn frontend and backend development, databases, APIs, Python, React.js, Generative AI, LLMs, RAG, prompt engineering, AI integration, testing, and cloud deployment.

Yes. The training can start with programming and web development fundamentals before progressing to advanced AI and full-stack application development.

Yes. Hands-on projects help you apply frontend, backend, database, API, and AI technologies to build practical applications.

The training covers Generative AI, Large Language Models (LLMs), prompt engineering, embeddings, vector databases, RAG, AI APIs, and AI agent concepts.

You will develop skills for creating AI-powered web applications, integrating AI models with backend systems, building responsive interfaces, working with databases and APIs, and deploying applications to cloud environments.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

AI Full Stack Development Career Opportunity

Infibee Technologies provides Placement Guidance and career support to help AI Full Stack Development learners prepare for industry opportunities. The placement support includes resume preparation, mock interviews, technical interview practice, aptitude guidance, career counselling, and job-oriented skill development. Learners can build practical project portfolios and strengthen their skills for opportunities related to AI Full Stack Development, Full Stack Development, Python Development, React Development, Generative AI, LLM Applications, and AI Engineering.

Annual Pay Scale
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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AI Full Stack Development Training FAQ's

Infibee AI Full Stack Development Training offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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