Kaushalpith.in

Artificial Intelligence and Machine Learning Program

At the Indian Council for Technical Research and Development, we provide comprehensive training in Machine Learning and Artificial Intelligence, guided by expert trainers to help students understand the fundamentals and gain in-depth knowledge of these technologies. Upon successful completion of the program, students receive a Global Certification, enhancing their value in the marketplace and preparing them for a career in ML and AI.

India’s #1 online
Technical Institution

INR 1400.00
(all inclusive)

Free access to

Course

10+2 / UG

Eligibility

Key Features

Deep Learning
Imitates Human Cognition
Quantum Computing, Cloud Computing
Preventing Natural Disasters, Data Ingestion

Key Benefits

Master AI and ML algorithms, implement tools, and enhance productivity with ICTRD's Machine Learning & Artificial Intelligence Program Certification Exam.
Take the Certification exam anytime from your location and get instant certification on your dashboard.
Receive a Course Completion Certificate and Proficiency Certificate to showcase your skills and improve career prospects.
Obtain ICTRD's Proficiency Certification in hard copy at no extra cost.
Get a Trainee Identification Number (TID) for your resume, verified on the official TID website.
Enjoy 3 months of free access to the ICTRD E-Library, with continued access for just ₹399/month after the trial (regularly ₹499/month).
Join the ICTRD Alumni Network upon eligibility.

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Artificial Intelligence and Machine Learning Program

Total Price

1400.00 2800.00

Get an industry-recognized global certification and full course for the Artificial Intelligence and Machine Learning Program at an exam fees of ₹1400.00

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Curriculum

Introduction of AI-ML-DL
Difference, working process and use
Types of ML

History of AI
Details of Machine learning and Deep learning
Data Dependency and Hardware Dependency
Feature Engineering
Problem Solving Approach
Interpretability
Classification of Algorithm
Anomaly Detection Algorithm
Clustering Algorithm
Regression Algorithm
Statistic and Probability with their Data and Types

Explanation of Terminologies in Probability
Types of Events
Probability Density Function
Standard Deviation and Curve
Central Limit Theorem
Types of Probability
Bayes' Theorem
Inferential Statistics
Point Estimation: Methods, Interval Estimation
Confidence Interval
Margin of Error
Hypothesis Testing

Details of Supervised Learning
SL-Algorithm
Regression Analysis and their uses
Linear vs. Logistic Regression
Linear Regression Selection Criteria and their uses
Decision Tree
Random Forest
Naïve Bayes
K-Nearest Neighbors

Details of Random Forest
Algorithm for supervised Learning
Naïve Bayes: Details, Uses and Types
Steps Involved Naïve Bayes
Support Vector Machine
Unsupervised Learning: Process flow
Clustering: Their use, types and applications
Pros and Con of K-Means Algorithm
Reinforcement Learning Definitions
Reinforcement Learning with an Analogy
Reward Maximization, Exploration & Exploitation

Machine Learning Engineer
Responsibilities of ML Engineer
Eligibility
Job Description
Demand of Skill Engineer
Interview techniques for Machin Learning Engineer

Recommendation system introduction
Types Recommendation System
Building a movie Recommendation System
Python programing

Artificial Intelligence definition
Narrow AI and Wide AI
Problem solving with the use of AI
AI Algorithms
Types of Learning in AI
Some Other important types of AI
Branches of AI
Advantages and Disadvantages of AI
Applications of AI

Brief history of Artificial Intelligence

Technical skills
Non-Technical Skills
Important of AI Engineers
Interview techniques for an AI Engineer

Basic knowledge of Data Science
Tools, Applications
Pros and Cons
Differentiate between AI vs. ML vs. DL vs. DS
Recommendation System and types
Some other important algorithms

Basics of Data Scientist
Skills required for Data Scientist
Interview techniques for Data Scientist

How to Get Certified

Few Easy Steps to Become a Certified Expert

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