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FullStack AI Course

Rated 5 out of 5

Infibee Technologies offers India’s No.1 FullStack AI Course with Global Certification and Real-Time Projects Training.

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

Join our FullStack AI Training Institute and ignite your FullStack AI career future with high-paying jobs in top companies.

Other related FullStack AI courses offered include:

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25 hrs of E-Learning Videos
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FullStack AI Course Overview

Infibee’s FullStack AI Course is designed to help learners build practical AI-powered applications by combining programming, machine learning, generative AI, APIs, databases, cloud technologies, automation, and deployment. The course will cover the entire process of developing AI applications. This includes data processing, model definition and application building and deployment.

Introduction to FullStack AI

The goal of the FullStack AI Course is to enable participants to create complete AI applications consisting of client and server side code, as well as integration of AI/ML models, APIs and databases.

Introduction to UiPath

Our FullStack AI Training provides a separate module on UiPath. UiPath is an automation software with AI capabilities and robotic process automation (RPA) features. Participants will learn to integrate UiPath with other AI/ML models and automate business processes and document handling.

Purpose of the FullStack AI Course

Our FullStack AI Course aims to teach students how to build end-to-end AI applications and prepare them for careers as AI application developers. It is an important course because there is a growing need in the industry to develop professionals with software development and artificial intelligence and machine learning (AI and ML) skills.

The course covers various latest and in-demand topics including application development and deployment, AI and ML, automation, and cloud computing. The course projects help students understand the development of AI based business solution.

Industry Demand, Applications and Future Scope

The diverse nature of the field of AI opens up many career opportunities in fields such as software development, automation, banking, retail, manufacturing, education, transportation and logistics to name a few. The influence of AI in different field helps in improving business operations and provide better services to customers.

With organizations embracing AI based solutions, the career opportunities in AI based automation and related fields are expected to increase. In addition to AI and ML based solutions, career opportunities in fields of Intelligent Process Automation and business automation can be pursued with UiPath or similar platforms.

FullStack AI Course Topics, Applications & Tools

FullStack AI Course Topics Covered Applications of FullStack AI Course Tools Used
Python & AI Programming AI Application Development Python
Machine Learning Predictive Analytics Scikit-learn
Deep Learning Computer Vision & NLP TensorFlow, PyTorch
Generative AI & LLMs AI Chatbots & Content Generation OpenAI APIs, Hugging Face
Prompt Engineering Intelligent AI Applications Prompt Frameworks
RAG & Vector Databases Enterprise Knowledge Assistants FAISS, ChromaDB
AI Agents Autonomous Task Automation LangChain, LangGraph
Backend Development AI API Integration FastAPI, Flask
Frontend Development AI Web Applications React, HTML, CSS, JavaScript
Database Management AI Data Storage MySQL, PostgreSQL, MongoDB
Cloud & Deployment Production AI Applications AWS, Azure, Google Cloud, Docker
MLOps & AI Deployment Model Monitoring & Deployment Git, Docker, CI/CD

Why Choose Infibee Technologies for a FullStack AI Course? 

Infibee Technologies provides an industry-oriented FullStack AI Training Institute experience designed around practical learning and real-world AI development. The curriculum combines AI fundamentals with modern development technologies so learners can understand how complete AI applications are designed and deployed.

Key Highlights

  • Industry-Experienced Trainers
  • Real-Time Project Exposure
  • Certification Support
  • Affordable Course Fees
  • Practical Teaching Methodology
  • Career Preparation
  • Flexible Learning
  • Recorded Sessions

Best FullStack AI Course – Get Certified with Infibee Technologies

Infibee Technologies is India’s leading FullStack AI Course Institute, offering industry-focused training designed to help learners develop practical skills in Artificial Intelligence and full-stack application development. Understand the complete pipeline of building AI powered applications including ML, Python, Databases, Cloud and other related technologies. Our course will help you gain the skills required for automation, full-stack development and app creation.

Experienced Trainers

All our trainers have an experience of more than 10+ years in relevant domains. They have the ability to communicate and demonstrate various AI concepts through various teaching aids, live sessions and demo coding.

Real-Time Project Exposure

Though our FullStack AI Course, you will gain hands-on projects involving AI applications, Automation, Generative AI, LLMs and other related areas. Along with this, you will also get to learn the end-to-end implementation of various AI solutions.

Certifications & Industry Exposure

We orient learners in achieving industry-relevant certifications such as AI, Automation, Cloud and other related domains. With our courses, learners will be apt in using various AI solutions in the industry.

Affordable Course Fees

At Infibee Technologies, students can benefit from our affordable prices while training to build careers in FullStack and AI. Our prices do not compromise the quality of our training and students can learn in the manner and at the times most convenient to them. The training covers both technology and ERT and offers support from the commencement of students’ training to the time they secure employment.

Practical Teaching Methodology

Through a combination of instructor-led training and many practical activities including coding, exercises, assignments, projects and progress tests, students are equipped to develop various AI applications. A number of doubt clearing sessions are conducted and students are prepared for industry jobs through numerous mock interviews.

Placement & Career Support

In addition to preparing students to acquire the skills required to compete in the job market through training, students are provided other employment-related services to enhance their chances of being employed. These services include assistance in development of employment resumes and cover letters, and interview training and preparation.

Infibee Technologies offers the training, and students need not look further for other FullStack AI Training and related services.

Modes of FullStack AI Training at Infibee Technologies

  • Classroom FullStack AI Training
  • Online FullStack AI Training
  • Live Instructor-Led Training
  • Corporate FullStack AI Training
  • Weekend & Weekday Batches
  • Customized Training Programs

Global Certifications Available for FullStack AI Course

There is no single universal certification named FullStack AI Certification. Learners can pursue recognized credentials covering AI engineering, machine learning, Generative AI, LLMs, and cloud AI technologies.

S.No Certification Code Certification Approx. Cost in INR* Certification Expiry
1 NCA-GENL NVIDIA Certified Associate – Generative AI LLMs ₹11,000 approx. 2 years
2 NCP-GENL NVIDIA Certified Professional – Generative AI LLMs ₹17,000 approx. 2 years
3 NCP-AAI NVIDIA Certified Professional – Agentic AI ₹17,000 approx. 2 years
4 MLA-C02 AWS Certified Machine Learning Engineer – Associate ₹12,830 approx. 3 years
5 Professional ML Engineer Google Cloud Professional Machine Learning Engineer ₹17,000+ approx.* Renewal required according to Google Cloud certification policy

*Costs are approximate INR conversions and can change because of exchange rates, taxes, regional pricing, and exam-provider policies. AWS lists the Associate exam price at ₹12,829.50 in its current pricing table.

NVIDIA currently lists NCA-GENL at $125 and NCP-GENL/NCP-AAI at $200, with NVIDIA certifications valid for two years. Google Cloud lists the Professional Machine Learning Engineer exam at $200 plus applicable tax and provides a renewal process.

Who Can Join?

The FullStack AI Course is suitable for:

  • Fresh graduates and college students
  • Software developers
  • Python developers
  • Full-stack developers
  • Data analysts and data scientists
  • Machine learning professionals
  • AI/ML engineers
  • DevOps and cloud professionals
  • Backend and frontend developers
  • QA and automation professionals transitioning into AI
  • IT professionals looking to move into Generative AI
  • Entrepreneurs and technology professionals building AI products

Career Opportunities in FullStack AI Course

Experience Level FullStack AI Role Indicative Salary
Freshers / Junior (0–3 years) Junior AI Developer ₹4–6 LPA
Generative AI Developer – Junior ₹5–7 LPA
AI Application Developer ₹4.5–7 LPA
Junior LLM Developer ₹5–8 LPA
Mid-Level (4–8 years) FullStack AI Developer ₹8–14 LPA
Generative AI Engineer ₹10–16 LPA
LLM Application Engineer ₹10–18 LPA
AI Solutions Engineer ₹10–18 LPA
AI Agent Developer ₹10–18 LPA
Senior / Experienced (9+ years) Senior FullStack AI Engineer ₹15–25 LPA
Lead AI Engineer ₹18–30 LPA
AI Solutions Architect ₹20–35 LPA
Generative AI Consultant ₹18–30 LPA
Specialized Roles RAG & LLM Engineer ₹12–25 LPA
AI Agent Engineer ₹12–25 LPA
LLMOps / MLOps Engineer ₹12–24 LPA
AI Integration Specialist ₹10–22 LPA
AI Testing & Evaluation Specialist ₹10–20 LPA

Who’s Hiring Advanced FullStack AI Professionals?

  • Microsoft
  • Amazon
  • Google
  • IBM
  • Accenture
  • Tata Consultancy Services
  • Infosys
  • Wipro

Can I Study for a FullStack AI Course in Other Locations?

Yes! Infibee Technologies offers FullStack AI Course training across major cities in India, providing learners with flexible options for classroom and online learning.

Learners searching for FullStack AI Course Training near me or FullStack AI Course near me can explore the available training options based on their preferred location and learning mode.

With expert trainers, practical learning, certification support, real-time projects, and placement assistance, Infibee Technologies provides a structured learning environment for aspiring AI professionals across India.

How to Register for the FullStack AI Course at Infibee Technologies?

Step 1: Register for a Free Demo

Visit the Infibee Technologies website, submit the inquiry form, and attend a free demo to understand the FullStack AI Course curriculum and training methodology.

Step 2: Choose Your Training Mode

Select classroom, online, weekday, weekend, or corporate FullStack AI Training based on your schedule and confirm your preferred batch.

Step 3: Start Learning & Build Your Career

Join FullStack AI Course Classes, work on real-time AI projects, and receive certification guidance, interview preparation, and placement assistance.

Enroll Today: Unlock Your FullStack AI Potential!

Enroll in Infibee’s FullStack AI Course today and gain practical AI development skills through expert-led FullStack AI Training, real-time projects, certification guidance, and career-focused learning.

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Why People Choose Infibee ?

Upcoming FullStack AI Batches

[dateshortCodeCi day=' monday ' ]
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

FullStack AI Course Syllabus

Full Stack AI Course is a career-focused program designed to help learners build complete AI-powered applications from frontend to backend, database, APIs, LLM integration, deployment, and production monitoring. The course covers modern web development along with Generative AI, LLMs, RAG, AI agents, MCP, vector databases, and cloud deployment.

  • Full Stack AI fundamentals
  • AI application architecture
  • Traditional Full Stack vs AI Full Stack
  • AI development lifecycle
  • LLM-powered application architecture
  • Frontend, backend, database and AI layers
  • Python fundamentals
  • Data types and control flow
  • Functions and modules
  • OOP concepts
  • Exception handling
  • File handling
  • Virtual environments
  • Package management
  • Async programming
  • Python for AI application development
  • HTML5 and CSS3
  • JavaScript fundamentals
  • ES6+ concepts
  • React fundamentals
  • Components and props
  • State and event handling
  • React Hooks
  • Forms and validation
  • API integration
  • Building AI chat interfaces
  • Streaming AI responses in the UI
  • FastAPI fundamentals
  • API architecture
  • REST APIs
  • Request and response handling
  • Authentication and authorization
  • Middleware
  • Async APIs
  • API validation
  • Error handling
  • Backend integration with AI models
  • Database fundamentals
  • SQL commands
  • CRUD operations
  • Joins and relationships
  • PostgreSQL
  • Database design
  • Python database connectivity
  • SQLAlchemy
  • Database integration with FastAPI
  • Generative AI concepts
  • LLM architecture
  • Tokens and context windows
  • Prompt engineering
  • System, user and assistant messages
  • Structured outputs
  • Function/tool calling
  • LLM APIs
  • Model selection and evaluation
  • Responsible AI basics
  • Building AI chatbots
  • AI-powered search
  • Text summarization
  • Content generation
  • Document analysis
  • AI API integration
  • Conversation memory
  • Streaming responses
  • Error handling and fallback strategies
  • LangChain fundamentals
  • Models and prompts
  • Chains
  • Document loaders
  • Text splitters
  • Retrievers
  • Memory
  • Tools
  • Agents
  • Building LLM workflows
  • RAG architecture
  • Document ingestion
  • Data preprocessing
  • Chunking strategies
  • Embeddings
  • Vector search
  • Retrieval techniques
  • Context augmentation
  • RAG evaluation
  • Building production-ready RAG applications
  • Vector database fundamentals
  • Embedding models
  • Similarity search
  • Metadata filtering
  • ChromaDB
  • FAISS
  • PostgreSQL with vector extensions
  • Vector database integration
  • Semantic search applications
  • AI agents fundamentals
  • Agent architecture
  • Tools and tool calling
  • Planning and reasoning workflows
  • Multi-step task execution
  • Agent memory
  • Human-in-the-loop workflows
  • Multi-agent concepts
  • LangGraph
  • Building autonomous AI workflows
  • MCP fundamentals
  • MCP architecture
  • MCP servers and clients
  • Resources
  • Tools
  • Prompts
  • Connecting AI applications with external systems
  • Building custom MCP servers
  • Integrating MCP with AI agents
  • LLM API integration
  • OpenAI-compatible APIs
  • AI model providers
  • Authentication and API keys
  • Function calling
  • External API integration
  • Web search integration
  • Third-party service integration
  • Building AI-powered automation
  • User authentication
  • JWT
  • OAuth fundamentals
  • Role-based access
  • API security
  • Environment variables
  • Secrets management
  • Input validation
  • AI application security
  • Prompt injection awareness
  • Docker fundamentals
  • Dockerfiles
  • Docker Compose
  • Containerizing frontend and backend
  • Environment configuration
  • Production builds
  • Cloud deployment concepts
  • Deploying AI applications
  • Application monitoring
  • Logs and troubleshooting
  • AI application architecture
  • Background tasks
  • Caching
  • Rate limiting
  • Async processing
  • Observability
  • AI evaluation
  • Cost optimization
  • Performance optimization
  • Production AI application best practices
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On FullStack AI Projects

Build a complete AI customer support application using React, FastAPI, Python, and LLM APIs. The project includes conversational AI, chat history, database integration, prompt engineering, and real-time AI responses. Learners will understand how to develop and connect frontend, backend, database, and AI components.

Intelligent Document Q&A with RAG

Develop a Retrieval-Augmented Generation (RAG) application that allows users to upload PDFs and documents and ask questions based on their content. Implement document processing, chunking, embeddings, vector search, retrieval, and LLM-based response generation using LangChain and a vector database.

AI Agent Workflow Automation

Create an intelligent AI agent capable of performing multi-step tasks by using tools, APIs, LangGraph, and LLMs. The project covers agent workflows, tool calling, memory, decision-making, external API integration, and automated task execution through a full-stack web interface.

MCP-Enabled AI Productivity Assistant

Build a modern AI productivity assistant using Model Context Protocol (MCP) to connect an AI application with external tools and services. Implement MCP servers, tools, resources, LLM integration, backend APIs, and a React dashboard to create an extensible AI-powered application.

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
Ms. Abinaya
Experience
5+ Years
Specialized in
Python, Full Stack Development, Generative AI, LLMs, RAG, LangChain, LangGraph, AI Agents, FastAPI, React, REST APIs, Vector Databases, MCP, Docker & AI Application Deployment.
More Details
Ms. Abinaya is a skilled AI and Full Stack Development instructor specializing in Python, React, FastAPI, Generative AI, LLMs, RAG, LangChain, LangGraph, AI Agents, APIs, and modern AI application development. She focuses on practical, industry-oriented training with hands-on projects, real-time use cases, and best practices for developing and deploying AI-powered applications.

FullStack AI Course Training Objectives

The FullStack AI Course Training Objectives are designed to provide learners with comprehensive knowledge of AI-powered full-stack application development. The training focuses on combining frontend and backend development with Generative AI, LLMs, APIs, databases, AI agents, prompt engineering, and cloud technologies. Learners gain practical experience in designing, developing, integrating, testing, and deploying intelligent web applications. The course also emphasizes real-time projects, industry-oriented development practices, scalable AI solutions, and problem-solving skills, preparing students and professionals to build and deploy modern AI-powered full-stack applications.

The main objective is to equip learners with the skills required to develop complete AI-powered applications, covering frontend, backend, databases, APIs, LLMs, RAG, AI agents, and deployment.

Learners will develop practical skills in Python, JavaScript, React, FastAPI, SQL, and REST API development, enabling them to build scalable full-stack applications.

The training introduces Generative AI, LLMs, prompt engineering, embeddings, RAG, LangChain, LangGraph, AI agents, and LLM API integration through practical exercises and projects.

Yes. Learners work on real-world projects such as AI chatbots, document-based RAG applications, AI agent automation, and MCP-enabled productivity assistants.

Learners understand how to containerize and deploy AI applications using Docker, cloud deployment concepts, environment configuration, API security, monitoring, and production best practices.

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.

FullStack AI Career Opportunity

Infibee Technologies provides dedicated Placement Guidance to help learners prepare for opportunities in leading IT and technology companies. The placement support focuses on resume preparation, mock interviews, technical interview training, aptitude practice, communication skills, and job-readiness sessions. Learners are guided to explore suitable roles based on their Full Stack AI skills, including AI Developer, Full Stack AI Developer, Python Developer, Generative AI Developer, and AI Application Developer.

The placement process is designed to connect trained candidates with relevant opportunities while helping them confidently showcase their practical project experience and technical skills to prospective employers.

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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FullStack AI Training FAQ's

Infibee FullStack AI 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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