Python Full Stack with AI Online Training

About the Python Full Stack with AI Online Training

Python Full Stack Developer Course Online at Besant Technologies provides learners with knowledge of the technologies used to build complete web applications and include AI features. This course will take the learners through tracks of Python, Core Python, Advanced Python, OOPs, then go on to Frontend technologies like HTML5, CSS3, JavaScript, Bootstrap, React.js. The Backend modules include Django, Flask, FastAPI, REST API, Authentication, MySQL, PostgreSQL, and MongoDB. The AI Track includes Machine Learning, Natural Language Processing (NLP), Generative AI, Large Language Models (LLMs), Prompt Engineering, LangChain, LangGraph, Hugging Face, Retrieval-Augmented Generation (RAG), Vector Databases, and AI Agents. The Python Full Stack Development Course includes Git, GitHub, Docker, and AWS. Learners will have an understanding of how to build, test, integrate, and deploy Full Stack applications with AI features.

What You Will Learn

• Learn Python programming, Core Python, Advanced Python, OOP concepts, and data structures.
• Create responsive web pages using HTML, CSS, JavaScript, Bootstrap, and React.js.
• Develop backend applications using Django, Flask, FastAPI, and REST API development.
• Work with MySQL, PostgreSQL, and MongoDB to store and manage application data.
• Explore Generative AI, Machine Learning, LLMs, Prompt Engineering, LangChain, RAG, and AI Agents.
• Build and deploy web applications using Git, GitHub, Docker, and AWS.

Syllabus of Python Full Stack with AI Online Training

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

Upcoming Batch Schedule for Python Full Stack with AI Training Online

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

• 16-11-2026 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 19-11-2026 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 14-11-2026 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees

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Python Full Stack with AI Online Training – Trainer Profile

Our Python Full Stack with AI Online Training is led by Suresh, a Senior IT professional who has more than 19 years of experience in developing software and training. He is currently working with Deloitte. He has practical knowledge in Python, Django, Flask, FastAPI, React.js, REST API development, database. The training will be more practical, where you will learn to code and develop real-time applications.

He has trained more than 12,000 students to date and helped more than 7,000 students, including freshers, working professionals, Candidates with career breaks, and non-IT to IT Migrants. He helps students to understand application development, improve coding skills and develop practical projects.

He provides online training to students from the USA, UK, UAE, Australia, and Canada. The Python Full Stack AI Course helps you to prepare for relevant certification and skill tests such as Python Institute PCEP, PCAP, PCPP1, PCPP2, and Python development-related certifications. You will be guided to understand the Full Stack development skills required for professional roles.

Python Full Stack with AI Online Certification Course

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.

Besant Technologies provides a course completion certificate after learners successfully finish the Python Full Stack with AI Online Training. The course also prepares students for industry-recognised Python certifications, including PCEP (Certified Entry-Level Python Programmer), PCAP (Certified Associate Python Programmer), and PCPP1 (Certified Professional Python Programmer – Level 1). During the training, learners strengthen their Python programming skills, work on practical coding exercises, and understand application development using Django, Flask, FastAPI, React.js, and databases. The trainer also guides students through certification-related topics and helps them understand the exam requirements. These certifications can add value to a resume and help demonstrate Python programming knowledge when applying for developer roles.

Key Features of Python Full Stack with AI Online Training

Key Highlights of Python Full Stack with AI Training

• Live Online or Classroom Training: Attend our interactive Python Full Stack with AI Online Training either online or through our classroom training.
• Industry-Experienced Trainers: Python Full Stack will be taught by experienced trainers who will help you understand the concepts using real-time examples.
• Live Curriculum: This will help you learn about Python, Django, Flask, FastAPI, React.js, JavaScript, databases, REST API, and Generative AI.
• Hands-on: Coding is a major part of this course, and you will work on assignments to improve your Python programming skills and application development skills.
• Live Project: You will work on projects to help gain a better understanding of how the frontend, backend, database, and AI features all work together.
• 100% Placement Assistance: We offer placement assistance and career guidance to help you get ready for Python Full Stack Developer roles.
• Interview Assistance: Our experts will offer you interview assistance. You will have practice technical questions and guidance to help you feel confident.
• Job Assistance: We offer job assistance with experienced professionals to help with development.
• Certification Assistance: We will guide you through preparing for Python certifications such as PCEP, PCAP, and PCPP1.
• Career and Salary Hike Assistance: Our experts will guide you through creating your resume, career development, and interview techniques to help you aim for better roles and salary hikes.

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