AI & Machine Learning Hot
AI & ML

AI & Machine Learning

4.4
  • Duration: 16 Weeks
  • Level: Beginner to Advanced
  • Mode: Online & Offline
  • Certificate: Yes
  • Language: English / Hindi
₹30,000
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Overview

Course Overview

About The Course

Comprehensive AI & Machine Learning course covering Python foundations, statistical analysis, machine learning algorithms, deep learning, computer vision, NLP, and MLOps. Build real-world AI applications and deploy production-ready models.

Why This Course?

Master the complete AI/ML lifecycle from data preprocessing to model deployment. This course equips you with in-demand skills for roles in data science, AI engineering, and machine learning operations across top tech companies.

Skills

What You Will Learn

Master these technologies and build production-ready applications

Python
NumPy
Pandas
Scikit-Learn
TensorFlow
Keras
PyTorch
OpenCV
NLTK
Hugging Face
Flask
Docker
MLflow
Streamlit
Deep Learning
NLP
Computer Vision
MLOps
Curriculum

Course Curriculum

16 comprehensive modules designed to take you from beginner to professional

01
W1 – Python Foundation
  • Python setup, Anaconda, Jupyter
  • Variables, loops, functions
  • Lists, tuples, file handling
02
W2 – Python for Data Science
  • NumPy arrays & indexing
  • Pandas DataFrames
  • CSV/Excel handling
  • Data inspection & filtering
03
W3 – Data Visualization
  • Matplotlib
  • Seaborn
  • Pair plots
  • Subplots
04
W4 – Statistics & Probability
  • Descriptive statistics
  • Variance & correlation
  • Bayes theorem
  • P-values
05
W5 – Machine Learning Fundamentals
  • Supervised Learning
  • Unsupervised Learning
  • Train/Test Split
  • Scikit-Learn
  • Cross Validation
06
W6 – Regression Techniques
  • Linear Regression
  • Multiple Regression
  • Ridge
  • Lasso
  • House Price Prediction Project
07
W7 – Classification Algorithms
  • Logistic Regression
  • KNN
  • Decision Trees
  • Random Forest
  • SVM
  • Naive Bayes
  • Fraud Detection Project
08
W8-W9 – Feature Engineering
  • Missing Value Imputation
  • K-Means
  • DBSCAN
  • PCA
  • t-SNE
09
W10 – Neural Networks
  • Perceptrons
  • Activation Functions
  • Forward & Backpropagation
  • MNIST Digit Classification
10
W11 – Computer Vision (CNN)
  • Convolution
  • Pooling
  • Transfer Learning
  • Image Classification
11
W12 – NLP Fundamentals
  • Tokenization
  • Lemmatization
  • Bag of Words
  • TF-IDF
  • RNN
  • LSTM
12
W13 – Advanced Deep Learning
  • Transformers
  • BERT
  • Autoencoders
  • GANs
  • Sentiment Analysis
13
W14 – Model Deployment
  • Pickle
  • H5 Models
  • Flask
  • FastAPI
  • AWS
  • GCP
14
W15 – MLOps & Production
  • MLflow
  • Airflow
  • Pipeline Automation
  • Model Monitoring
  • CI/CD
15
W16 – Advanced Computer Vision
  • Image Segmentation
  • Object Detection
  • OpenCV
  • Real-Time Video Processing
16
W17 – Advanced NLP & Reinforcement Learning
  • Advanced NLP: NER, QA Systems, Text Generation, LangChain, RAG Applications
  • Reinforcement Learning: Q-Learning, OpenAI Gym, Policy Gradients, Game AI
Tech Stack

Complete Tech Stack

Industry-standard technologies you'll master

Python NumPy Pandas Scikit-Learn TensorFlow Keras PyTorch OpenCV NLTK Hugging Face Flask Docker MLflow Streamlit
Projects

Live Projects

Build production-ready applications that showcase your skills to employers

Chatbot Development

Build an intelligent chatbot using NLP and deep learning techniques.

Image Recognition System

Create a computer vision system for object detection and classification.

Predictive Analytics Model

Develop ML models for business forecasting and decision making.

Tools

Tools & Technologies

Work with industry-standard tools used by top companies worldwide

Python
TensorFlow
PyTorch
Jupyter
Colab
AWS
Docker
Kubernetes
MLflow
Features

Course Features

Everything you get when you enroll in this course

Live Classes
Recorded Sessions
Practical Labs
Assignments
Real Projects
Internship Support
Resume Building
Mock Interviews
Placement Assistance
Certificate
Lifetime Support
Flexible Timing
Careers

Career Opportunities

Roles you can apply for after completing this course

ML Engineer

Design and deploy machine learning models at scale.

₹8 - 20 LPA
AI Engineer

Build intelligent systems and AI-powered applications.

₹10 - 25 LPA
Data Scientist

Analyze complex data and extract actionable insights.

₹7 - 18 LPA
Deep Learning Engineer

Specialize in neural networks and deep learning architectures.

₹10 - 22 LPA
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