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"Python: Where readability and power converge."
Artifical Intelligence,Machine Learning

Master AI & ML concepts to build intelligent systems.

MERN Industrial Training

Hands-on MERN stack (MongoDB, Express, React, Node) projects.

Java Development

Learn core to advanced Java for enterprise apps

Full Stack Development

Build complete web apps with frontend and backend skills.

C #, .NET

Develop desktop & web apps using Microsoft technologies.

Python , Data Engineering

Use Python for data pipelines and analytics solutions.

Mobile Development

Create iOS and Android apps with modern frameworks.

Test Automation

Automate testing processes with top industry tools.

Manual Testing

Learn effective software testing techniques manually.

AI Bootcamp for Students

Fun, beginner-friendly AI projects for school students.

Senior Leadership Excellence Workshop

Strategic leadership, executive decision-making, and organizational impact

Level-Up Leadership

Transition from task management to impactful leadership and people ownership skills

Aligned Aesthetics

Personal branding, professional presence, and confident communication skills

Why Python ?

Python stands out as a widely adopted programming language for a multitude of convincing rationales, rendering it a superb selection for a diverse array of use cases.

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Readability, Versatility, Large Ecosystem, Cross-Platform Compatibility, Open Source, Rapid Development, Automation and Scripting.

Course Content

1. Fundamentals

1.1 Matrices & Linear Algebra Fundamentals

I. Statistics

  • Probability and Sampling

  • Ratio Metrics

II. Database

  • Relational and non-relational databases

  • SQL + Joins(Inner, Outer, Cross, Theta Join)

  • NoSQL

1.2 Tabular Data

1.3 Data Frame & Series

1.4 Data Formates

  • JSON

  • XML

  • CSV

Python Programming

1. Programming

1.1 Core Python

  • Expressions

  • Variables

  • Data Structures

  • Functions

  • Packages

  • Codestyle, e.g. PEP8

1.2 File Handling

  • Read Files,Write/Create Files, Delete Files

1.3 Python libraries

  • NumPy , Pandas

1.4 Python Matplotlib

Machine Learning

1. General

1.1 Concepts, Inputs & Attributes

1.2 Cost Functions and Gradient descent

1.3 Overfitting/Underfitting

1.4 Training, validation and test data

1.5 Bias & Variance

2. Methods

2.1 Supervised learning

I. Regression

II. Classification

2.2 Unsupervised learning

I. Clustering

  • Categorical Variables

  • Ordinal Variables

  • Numerical Variables

  • linear regression

  • poisson regression

  • K-Nearest Neighbour

  • SVM

  • Logistic regression

  • Decision Trees

  • Naive Bayes Classifiers

  • K-Means

  • Mean shift

  • Hierarchical clustering

II. Association Rule Learning

2.3 Ensemble Learning

  I. Boosting
 II. Bagging
III. Stacking

2.4 Reinforcement Learning

  • Q-Learning

3. Important Library

3.1 scikit-learn, spacy(NLP)

4. Use Cases

4.1 Prediction
4.2 Collaborative Filtering
4.3 Tagging

5. Minor Project

Spam Email Classifier

Description: Develop a machine learning model to classify emails as spam or not spam. Use a dataset of labeled emails for training. This project will involve text preprocessing, feature extraction, and training a classification algorithm.

  • Apriori Algorithm

  • FP Trees

AI (Artificial Intelligence)

1. Understand the Basics

2. Mathematics Foundation

3. Deep Learning Fundamentals

3.1 Neural networks
3.2 Activation functions
3.3 Backpropagation

4. Frameworks

4.1 TensorFlow or PyTorch

5. Practical Experience

6. Natural Language Processing (NLP)

6.1 NLP
6.2 Convolutional neural networks (CNNs)

7. Libraries

  • Scikit-learn, Keras, and OpenCV.

8. Advanced Topics

8.1 Generative adversarial networks (GANs)
8.2 Transfer learning
8.3 Model optimization

9. Minor Project

Credit Card Fraud Detection

Description: Build a fraud detection system for credit card transactions. Use a dataset with labeled transactions. Implement a classification algorithm to identify fraudulent transactions. This project includes data preprocessing, feature selection, and model evaluation.

Register now to take a leap in your career

Course fee 
Mohali: INR 25,000 (EMI Plan: 3 x INR 9,000)
Jammu: INR 20,000 (EMI Plan: 3 x INR 7,000)
Online: INR 20,000 (EMI Plan: 3 x INR 7,000)

Group Discount - 5% for a group of 5, 10% for a group of 10

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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?

  1. The same standards of training followed as for the employees of Avisoft.

  2. Training from the developers working in the industry, and not instructors at training institutes.

  3. Pre-placement job opportunities from Avisoft and partner companies at STPI Mohali.

 

Amay_Thakur
"During my time as a trainee in this company, I found the work environment to be supportive and encouraging. I had the opportunity to work on various projects, which helped me learn and grow my skills. The team was always willing to share their knowledge and assist whenever needed. I highly recommend Avi Skill's Python training program to anyone looking to advance their career."

Amay Thakur

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