💰 60000

Eligibility:

Higher Secondary (10+2) + Basic
Languages

Understand the fundamentals of Artificial Intelligence and Machine LearningApply Supervised and Unsupervised Learning algorithms effectivelyDevelop Deep Learning models using Neural NetworksImplement Natural Language Processing (NLP) for text and speech dataDesign Computer Vision systems for image recognition and detectionPerform Data Preprocessing and Feature Engineering for model accuracyUtilize AI tools and frameworks like TensorFlow, Keras, and PyTorchDeploy Machine Learning models using MLOps and Cloud AI integrationAnalyze and interpret AI-driven insights for decision makingUnderstand AI Ethics, Bias, and Responsible AI GovernanceBuild and present a complete Machine Learning project from concept to deploymentEnhance problem-solving and critical thinking skills through real-world AI projectsPrepare for job roles such as AI Engineer, Data Scientist, or ML Developer

Course Description

This course is designed to provide a comprehensive understanding of Machine Learning (ML) and Artificial Intelligence (AI) from the fundamentals to advanced
concepts. It covers supervised and unsupervised learning, deep learning, natural language processing (NLP), computer vision, AI ethics, and cloud-based model deployment.

Modules

Introduction to Machine Learning & AI
Supervised Learning – Regression & Classification
Unsupervised Learning & Clustering
Deep Learning & Neural Networks
Natural Language Processing (NLP) & AI Chatbots
Time Series Forecasting & AI in Finance
AI Model Deployment & Cloud Computing
Capstone Project & AI Ethics

Projects

Perform data cleaning & visualization on a real-world dataset
Research a real-world AI application and its impact on industries
Build a House Price Prediction Model using Linear Regression
Implement a Spam Email Classifier using Logistic Regression
Perform Customer Segmentation using K-Means Clustering
Apply PCA for feature reduction on a dataset
Train a Neural Network for Sentiment Analysis using LSTM
Implement a CNN for Image Classification using Keras
Build a Sentiment Analysis Model to classify customer reviews
Develop an AI-powered chatbot for a retail business
Train an ARIMA model for stock price prediction
Implement LSTM for forecasting electricity consumption trends
Deploy a Machine Learning model as an API using Flask
Integrate AI models with AWS Lambda & Google Vertex AI
Develop a real-world AI project on a dataset of your choice
Present your Capstone Project explaining its real-world impa

Assignments

Perform data cleaning & visualization on a real-world dataset
Research a real-world AI application and its impact on industries
Build a House Price Prediction Model using Linear Regression
Implement a Spam Email Classifier using Logistic Regression
Perform Customer Segmentation using K-Means Clustering
Apply PCA for feature reduction on a dataset
Train a Neural Network for Sentiment Analysis using LSTM
Implement a CNN for Image Classification using Keras
Build a Sentiment Analysis Model to classify customer reviews
Develop an AI-powered chatbot for a retail business
Train an ARIMA model for stock price prediction
Implement LSTM for forecasting electricity consumption trends
Deploy a Machine Learning model as an API using Flask
Integrate AI models with AWS Lambda & Google Vertex AI
Develop a real-world AI project on a dataset of your choice
Present your Capstone Project explaining its real-world impa

Certificate

Practical AI-integrated Project (40%)
Final Online Test (60%)
NxT Certified Machine Learning and Artificial Intelligence
Professional Certificate awarded upon successful completion.