Artificial Intelligence Machine Learning 

Course Overview

Artificial Intelligence and Machine Learning course. Artificial intelligence is the recreation of human insight through machines. Machine learning is a connected insight or arithmetic. It is a subfield of software engineering.

If you are a computer geek, if you love coding and wish to explore dimensionless world of programming, TechTrunk brings you the core Artificial Intelligence Training which will take you through core development and programming experience and will make you expert in writing algorithms for AI applications, you will learn Machine Learning, Linear Regression, Artificial Neural Network, Support Vector Machine and much more.

Course Cover

1. Python Programming
2. Machine Learning Algorithms
3. Supervised Learning – Linear Regression, Logistic Regression, SVM, Decision Tree, Random Forest, and ANN
4. Unsupervised Learning Algorithms – K Means, DBSCAN, Anomaly Detection, PCA
5. Time Series Forecasting
6. NLP – Sentiment Analysis, Chatbots
7. Computer Vision – Face Recognition, Emotion Detection

Course Objective

Toward the finish of this course, you will have the capacity to

1. Identify potential zones of uses of Machine Learning for AI
2. Providing experience of working with real-time applications of Artificial Intelligence  Machine Learning Course to the learner.
3. Make a learner easily land up to a job role of either Data Scientist, Machine Learning Engineer, NLP Expert in IT Industry

Software & Tools

A learner will be using given software and tool during this machine learning course, Instructor will help to the learner for installing the software.

Prerequisite

1. Basic Understanding of Python Programming Language.

Machine Requirement

1. Windows Machine (Windows 7 or Above) /Linux Machine
2. Only 64 Bit
3. 4 GB RAM (8 GB Recommended)
4. Internet Connection (Minimum 2mbps)

We will cover +5 Capstone Projects, Assignment, and Quizzes out of giving 13 projects

1. Churn Prediction for an Enterprise
2. Real-time Emotion Detection from speech and Face
3. Real-time Brand Analysis from Social Media Data
4. Criminal Detection System using Face Recognition
5. Smart Factory – Predictive Maintenance
6. IPL Prediction using Machine Learning
7. Enron Fraud Detection
8. Credit card Fraud Detection
9. Tumor Detection from Brain MRI Images
10. Utility-based Chatbot
11. Support Ticket Classification system
12. Character Recognition
13. Chatbot

Study Material

1. PPTs
2. Practice Examples
3. Reading Material in softcopy
4. Project Codes
5. Projects and Assignment
6. Lifetime access to Learning Management Systems (Here learner will get recorded videos of live session)

Suggested relevant courses after taking this course

Deep Learning

Suggested Job Profile after taking this course

1. Data Scientist
2. Machine Learning Engineer
3. AI Engineer
4. NLP Expert
5. Data Analyst
6. BI Professional
7. R & D Professional

Course Code: TTV/IND/00025

FAQ’s

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Download full Course Curriculum