8 Weeks Industrial Training in Python & AI/ML
Learn directly from software developers and AI engineers working in the industry and gain practical experience in Python programming, Machine Learning, Deep Learning, Data Analysis, and AI application development through hands-on projects and real-world implementation.
Why Python & AI/ML?
Python has become one of the most in-demand programming languages for Artificial Intelligence, Machine Learning, Data Science, Automation, and Backend Development. Its simplicity, extensive libraries, and scalability make it the preferred choice for modern AI-powered applications. The demand for AI and Machine Learning professionals is growing rapidly across industries including finance, healthcare, e-commerce, cybersecurity, analytics, and automation. This program helps students build practical industry-ready skills in Python programming, data handling, machine learning algorithms, backend frameworks, and predictive AI systems. Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Predictive Analytics, Automation, Backend Development, Modern AI Frameworks, and Real-World AI Application Development.
Course Content
1. Python
1. Python Fundamentals
● Introduction to Python
● Variables & Data Types
● Operators & Conditional Statements
● Loops & Functions
● File Handling
● Exception Handling
2. Data Structures & Algorithms
● Lists, Tuples, Dictionaries & Sets
● Stack & Queue
● Linked Lists
● Searching & Sorting Algorithms
● Problem Solving & Assignments
3. Database Management
● PostgreSQL Installation
● SQL Fundamentals
● CRUD Operations
● Database Interactions using Python
2. Data Analysis & Visualization
1. Data Analysis Libraries
● NumPy
● Pandas
● Data Cleaning & Processing
2. Data Visualization
● Matplotlib
● Seaborn
● Data Representation Techniques
3. Assignments & Practical Exercises
● Structured Data Analysis
● Data Visualization Projects
● Analytical Reporting
3. Django & FastAPI
1. Django Framework
● Django Fundamentals
● URL Routing
● Models & Database Integration
● Authentication Systems
● Template Rendering
● API Development using Django
2. FastAPI
● FastAPI Fundamentals
● API Development
● Request Handling
● Backend Integration
3. Deployment
● Deploying Frontend on Vercel
● Backend Deployment on Railway/Render
4. Machine Learning & AI
1. Machine Learning Fundamentals
● Introduction to Machine Learning
● Supervised Learning
● Unsupervised Learning
● Classification Algorithms
● Clustering Algorithms
2. Deep Learning
● Neural Networks
● CNNs
● RNNs & LSTMs
● Transformers & BERT
3. Advanced AI Concepts
● Reinforcement Learning
● Embedding Systems
● Predictive AI Systems
Mini Projects
Mini Project 1: Stock Data Crawling System
Description:
Develop a system to extract stock market data from finance platforms such as Yahoo Finance, Google Finance, Moneycontrol, and Economic Times, and store structured and semi-structured data in PostgreSQL databases.
Features:
● Web Crawling
● Data Collection & Structuring
● JSON Data Storage
● Database Integration
Mini Project 2: E-Commerce Application
Description:
Build major workflows of an e-commerce platform using Django, PostgreSQL, APIs, and
deployment workflows.
Features:
● User Authentication
● Product Listings
● Order Management
● Database Integration
● API Development
Major Project
Stock Prediction & Forecasting System
Description:
Develop an AI-powered stock forecasting system using Machine Learning and Deep Learning models to analyze market trends and predict stock movements.
Features:
● Predictive Analytics
● Time Series Forecasting
● AI Model Training
● Data Visualization Dashboard
● Django-Based Frontend
● Deployment Workflow
Tech Stack
● Backend – Python, Django, FastAPI, PostgreSQL
● AI/ML – NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch
● Frontend – Django Templates / Web UI
● Deployment – Vercel, Railway, Render
Project made by Intern
The Stock Market Analysis Program (SMAP) v4.0.0 is a cloud-native financial terminal engineered to process and visualize 30 day historical market trends. Built on a decoupled N-tier architecture, it features a dynamic React frontend deployed on Vercel's edge network and a robust Django REST API backend hosted on Render. At its data core, a custom Python-driven Pandas ETL pipeline autonomously ingests live market data into a serverless Neon PostgreSQL vault. The platform prioritizes user experience with state-driven theme toggles, fluid CSS grid layouts, and custom SVG animations.
Looking forward, the project's architectural roadmap includes expanding this foundation to support complex e-commerce transaction workflows and integrating predictive Machine Learning models directly into the backend services
Register now to take a leap in your career
Course fee
Mohali: INR 15,000
Online: INR 10,000
Group Discount - 5% for a group of 5, 10% for a group of 10
Note:
1.Enter your email in the notes/comments while making UPI payment.
2.Fill the form in the website footer, providing same email and submit payment screenshot as attachment.
Why Avi Skill?
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The same standards of training followed as for the employees of Avisoft.
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Training from the developers working in the industry, and not instructors at training institutes.
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Pre-placement job opportunities from Avisoft and partner companies at STPI Mohali.
The Aviskill AI/ML internship has been exactly what I needed to bridge the gap between classroom theory and real-world software engineering. Instead of just reading about concepts, I loved the hands-on approach. I was able to go from learning foundational Python to actually architecting and deploying a live, fully decoupled React and Django web app. I really appreciate the curriculum's strict focus on writing custom code from scratch rather than relying on shortcuts.
Looking ahead, I’m excited to take these skills further by building a full e-commerce platform and finally integrating AI and machine learning models into my work.
Yatesh Sharma
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