Python Full Stack with AI Training in Chennai

About the Python Full Stack with AI Training in Chennai

The Python Full Stack with AI course in Chennai covers the major technologies used in modern web and AI application development. The training starts with Python fundamentals, data types, control statements, functions, Object-Oriented Programming (OOP), exception handling, file handling, modules, and packages. It then moves into frontend technologies such as HTML5, CSS3, JavaScript, Bootstrap, and React.js, followed by backend development using Django, Flask, and FastAPI. You will also learn SQL, MySQL, PostgreSQL, database design, ORM, RESTful APIs, authentication, Git, GitHub, and application deployment. The AI tracks include data analysis with NumPy and Pandas, Machine Learning with Scikit-learn, model evaluation, Generative AI, prompt engineering, LLM integration, LangChain, Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and chatbot development. Additional topics such as API testing, debugging, Docker, cloud deployment, and CI/CD fundamentals help you understand how to develop, test, and deploy applications. These tracks bring Python development and AI together through practical exercises and end-to-end projects.

What You Will Learn in Python Full Stack with AI Training

• Python programming, OOP concepts, data structures, and exception handling.
• Frontend development using HTML, CSS, JavaScript, Bootstrap, and React.js.
• Backend development with Django, Flask, FastAPI, and REST APIs.
• Database management using SQL, MySQL, PostgreSQL, and ORM.
• Machine Learning, Generative AI, prompt engineering, LLMs, RAG, and AI chatbot development.
• Git, GitHub, application testing, debugging, Docker, deployment, and end-to-end project development.

Upcoming Batch Schedule for Python Full Stack with AI Training in Chennai

Besant Technologies provides flexible timings to all our students. Here are the Python Full Stack with AI Training in Chennai Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

• 09-11-2026 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 05-11-2026 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 07-11-2026 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees

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Syllabus of Python Full Stack with AI Training in Chennai

Module 1: Python Programming Fundamentals

• Python syntax, variables, data types, and operators
• Conditional statements, loops, and control flow
• Functions, lambda expressions, and built-in methods
• Lists, tuples, dictionaries, sets, and data structures
• Object-Oriented Programming (OOP), inheritance, and polymorphism
• Exception handling, file operations, modules, and packages
• Iterators, generators, decorators, and asynchronous programming
• Debugging techniques and unit testing basics

Module 2: Frontend Web Development

• HTML5 elements, forms, and semantic markup
• CSS3 styling, Flexbox, Grid, and responsive layouts
• JavaScript fundamentals, ES6+ features, and DOM manipulation
• Events, promises, async/await, and Fetch API
• React.js components, props, state, and hooks
• React Router and frontend navigation
• Context API or Redux for state management
• Connecting user interfaces with backend services

Module 3: Backend Development with Django

• Django installation, project setup, and application structure
• URL routing, views, templates, and request handling
• Models, Django ORM, and database operations
• CRUD functionality for web applications
• Forms, validation, and user authentication
• Roles, permissions, and session management
• Django REST Framework and API creation
• Application security and backend testing

Module 4: API Development with FastAPI

• FastAPI project configuration and endpoint creation
• HTTP methods, status codes, and request handling
• Request validation and response models using Pydantic
• Building and documenting REST APIs
• Async endpoints and background task processing
• API authentication and error handling
• WebSockets and real-time communication fundamentals
• Integrating Python APIs with frontend applications

Module 5: Database Design and Integration

• Relational database concepts and SQL commands
• MySQL and PostgreSQL database operations
• Tables, keys, constraints, and relationships
• Joins, subqueries, aggregate functions, and transactions
• Database normalization, indexing, and query optimization
• ORM concepts and database migrations
• Introduction to NoSQL databases and document storage
• Connecting databases with Django and FastAPI

Module 6: Machine Learning and Data Analysis

• Introduction to Artificial Intelligence and Machine Learning
• Data manipulation using NumPy and Pandas
• Data cleaning, preprocessing, and exploratory analysis
• Data visualization and feature preparation
• Supervised and unsupervised learning techniques
• Regression, classification, and clustering algorithms
• Model training, testing, and performance evaluation
• Implementing basic ML workflows using Scikit-learn

Module 7: Generative AI and Large Language Models

• Generative AI concepts and common application areas
• Understanding Large Language Models (LLMs)
• Prompt design and prompt engineering techniques
• Connecting Python applications with AI model APIs
• Managing conversation history and contextual responses
• Generating structured outputs from language models
• Building text summarization and question-answering features
• Developing AI-powered chatbot applications

Module 8: Retrieval-Augmented Generation (RAG)

• RAG architecture and its role in AI applications
• Loading and processing documents from different sources
• Text splitting, chunking, and metadata handling
• Embeddings and semantic similarity search
• Vector database concepts and integration
• Retrieving relevant information for LLM responses
• Building document-based question-answering systems
• Testing retrieval quality and improving response relevance

Module 9: AI Agents and Workflow Automation

• Introduction to AI agents and agent-based workflows
• Function calling and tool integration
• Connecting language models with external APIs
• Using application data and databases in AI workflows
• Managing conversation state and context
• Automating multi-step tasks with AI
• Introduction to multi-agent coordination
• Developing practical AI-assisted workflow applications

Module 10: Full Stack Application Integration

• Planning the architecture of a full stack application
• Connecting React.js interfaces with Python backends
• Integrating Django and FastAPI services where appropriate
• Linking application features with SQL databases
• Adding AI APIs and LLM-powered functionality
• Implementing authentication and access controls
• Handling validation, errors, and application logs
• Testing the complete frontend-to-backend workflow

Module 11: Version Control and Application Deployment

• Git fundamentals, branching, merging, and version history
• Managing source code through GitHub repositories
• Environment variables and configuration management
• Introduction to Docker and container-based deployment
• Preparing applications for production environments
• CI/CD concepts and automated build workflows
• Deploying applications on suitable cloud hosting platforms
• Basic application monitoring, logging, and maintenance

Module 12: Practical Projects and Portfolio Development

• Build a full stack task management application
• Develop an expense tracker with AI-assisted insights
• Create a document-based AI question-answering chatbot
• Build a meeting notes and summary application
• Integrate an AI assistant into a web application
• Test application functionality and resolve technical issues
• Document project architecture, features, and setup instructions
• Publish project code on GitHub and prepare for technical interviews

Trainer profile of Python Full Stack with AI Training in Chennai

Raj is an experienced software development professional with 13+ years of experience in Python development, full stack engineering, and AI application development. His technical expertise includes Python, Django, FastAPI, React.js, JavaScript, SQL, REST APIs, Machine Learning, Generative AI, Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), AI agents, Docker, and cloud deployment. His training approach focuses on practical coding, database integration, API development, AI-powered applications, and end-to-end projects. He guides freshers, working professionals, career-break candidates, and non-IT learners in developing industry-relevant skills for software development and AI-related roles.

His relevant professional certifications may include Python Institute certifications (PCEP, PCAP, or PCPP), AWS Certified Developer – Associate, Microsoft Certified: Azure Developer Associate, Microsoft Certified: Azure AI Engineer Associate, and relevant Google Cloud or Generative AI credentials, depending on the certifications he has actually earned.

Python Full Stack with AI Certification Course in Chennai - Besant Technologies

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

After completing the Python Full Stack with AI course in Chennai with placements, learners receive a course completion certificate from Besant Technologies. The course covers Python programming, Django, FastAPI, React.js, SQL, and AI fundamentals, helping learners build the skills needed for full-stack development projects.

Learners can also prepare for relevant industry certifications, such as PCEP (Certified Entry-Level Python Programmer), PCAP (Certified Associate Python Programmer), and AWS Certified AI Practitioner, based on their career goals. These certifications have separate exam requirements and can help learners demonstrate their knowledge to potential employers.

Key Features of Python Full Stack with AI Training in Chennai

• Hands-On Python Training: Learn Python basics, OOP concepts, data structures, functions, and exception handling with practical coding exercises.
• Frontend and Backend Development: Work with HTML, CSS, JavaScript, React.js, Django, and FastAPI to learn how to build complete web applications.
• Database Training: Understand SQL queries, joins, CRUD operations, and database management to handle application data efficiently.
• AI Application Development: Learn how to connect AI tools and APIs with Python applications and build projects using AI concepts.
• Live Project Experience: Apply your knowledge by developing web applications, REST APIs, and AI-based projects that you can showcase in your portfolio.
• Online and Classroom Classes: Choose Python Full Stack with AI online Training Chennai or classroom sessions based on your convenience and learning preference.
• Convenient Chennai Branch Locations: Besant Technologies offers training across Chennai locations, including Velachery, Anna Nagar, Tambaram, Porur, T. Nagar, Maraimalai Nagar, Siruseri, and OMR. Check course availability at your preferred branch.
• Interview Preparation: Practise Python coding questions, technical interview topics, and project explanations with guidance from experienced trainers.
• Placement and Job Support: Get assistance with resume preparation, job opportunities, and interview practice to help you prepare for relevant IT roles. Placement outcomes depend on eligibility and hiring requirements.
• Career Growth Support: Build the skills required for Python Developer, Full Stack Developer, Backend Developer, and AI Application Developer roles. The training can help you prepare for new opportunities and salary negotiations based on your skills and experience.

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