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Next Gen Soft Cloud LLC
  • Home
  • Services
  • Industries
  • TRAINING
    • Professional
    • Kids
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  • Contact Us

AI & ML With PYTHON TRAINING COURSE (200 Hours | ~ 12 months

1. Introduction to AI & Machine Learning

  • What is Artificial Intelligence? 
  • Machine Learning vs Deep Learning 
  • Applications of AI & ML 
  • AI/ML Workflow 
  • Tools & Ecosystem Overview

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ Intro to AIML: 4 Hours (1 Week)


2. Python for AI & ML

  • Python Basics Review 
  • Data Types & Control Flow 
  • Functions & Modules 
  • OOP Concepts in Python 
  • Working with Virtual Environments

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ AI & ML:  12 Hours (3 Weeks)

3. Python Libraries for Data Science

  • NumPy 
  • Pandas 
  • Matplotlib 
  • Seaborn 
  • SciPy

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ PL for DS: 12 Hours (3 Weeks)

4. Data Handling & Preprocessing

  • Data Collection Techniques 
  • Data Cleaning 
  • Handling Missing Values 
  • Feature Scaling 
  • Encoding Categorical Data 
  • Train-Test Split

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ DHP: 16 Hours (4 Weeks)

5. Exploratory Data Analysis (EDA)

  • Descriptive Statistics 
  • Data Visualization 
  • Correlation Analysis 
  • Outlier Detection

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅EDA: 16 Hours (4 Weeks)

6. Statistics & Mathematics for ML

  • Probability Basics 
  • Statistics Fundamentals 
  • Linear Algebra Basic 
  • Gradient Descent Concept

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ SM for ML: 12 Hours (3 Weeks)

7. Machine Learning Concepts

  • Supervised Learning 
  • Unsupervised Learning 
  • Reinforcement Learning (Overview) 
  • Bias-Variance Tradeoff 
  • Model Evaluation Metrics

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ MLC: 16 Hours (4 Weeks)

8. Supervised Learning Algorithms

  • Linear Regression 
  • Logistic Regression 
  • K-Nearest Neighbors (KNN) 
  • Decision Trees 
  • Random Forest 
  • Support Vector Machines (SVM) 
  • Naive Bayes

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ SLA: 24 Hours (6 Weeks)

9. Unsupervised Learning Algorithms

  • K-Means Clustering 
  • Hierarchical Clustering 
  • DBSCAN 
  • Principal Component Analysis (PCA)

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ ULA: 16 Hours (4 Weeks)

10. Model Selection & Optimization

  • Cross-Validation 
  • Hyperparameter Tuning 
  • Grid Search & Random Search 
  • Overfitting & Underfitting

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅MSO: 12 Hours (3 Weeks)

11. Introduction to Deep Learning

  • Neural Networks Basics 
  • Perceptron 
  • Activation Functions 
  • Loss Functions 
  • Optimizers

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ IDL: 4 Hours (1 Week)

12. Deep Learning with Python

  • TensorFlow Basics 
  • Keras API 
  • Building Neural Networks 
  • Model Training & Evaluation

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ DLP: 12 Hours (3 Weeks)

13. Natural Language Processing (NLP)

  • Text Preprocessing 
  • Bag of Words & TF-IDF 
  • Word Embeddings 
  • Sentiment Analysis 
  • Text Classification

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ NLP: 12 Hours (3 Weeks)

14. Computer Vision Basics

  • Image Processing Concepts 
  • OpenCV Basics 
  • Image Classification 
  • Face Detection (Overview)

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ CVB: 12 Hours (3 Weeks)

15. Model Deployment

  • Saving & Loading Models 
  • Flask / FastAPI Basics 
  • Model Deployment Workflow 
  • Introduction to Cloud Deployment

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ MD: 8 Hours (2 Weeks)

16. Tools & MLOps Basics

  • Jupyter Notebook 
  • Git & GitHub 
  • ML Pipelines (Overview) 
  • Model Monitoring Basics

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ TML Ops: 8 Hours (2 Weeks)

17. Project

  • Mini Projects 
  • Real-Time AI/ML Project 
  • Project Documentation & Presentation

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ Project: 12 Hours (3 Weeks)

18. Career & Certification Guidance

  • AI/ML Career Paths 
  • Resume Building 
  • Interview Preparation 
  • Certification Overview

 Total Weekly Time

  • Saturday: 2 Hours
  • Sunday: 2 Hours

✅ Total = 4 Hours / Week

✅ CCG: 4 Hours (1 Week)

Book A Free Online Demo Class

AI & ML with Python Training Course (Demo Request)

Kindly Share 3 convenient time slots for DEMO class

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