Artificial Intelligence and Machine Learning Program

Description

At the Lernow Skill Council, 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 (all inclusive)

Free access to Course
(Full lifetime access)

10+2 / UG
Eligibility

Earn a career certificate

Receive both a Course Completion Certificate and a Proficiency Certificate, showcasing your skills and enhancing your career prospects.

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.

EXAM FORMAT

• Exam Mode – Online (Appear from anywhere within 12 months)
• Certification Delivery – Instantly in Dashboard + Original Hardcopy By Post
• Question Type – Objective with 4 or 6 options.
• Total Number of Questions – 30 Question
• Total Marks – 60 Marks (2 Marks/ Solution)
• Negative Marking – Not Applicable
• Total Time Limit – 60 Minutes (No Breakdown)
• Please read the LSC exam protocol carefully before appearing for the exam.

COURSE OUTLINE

Our advanced professional certification programs and high-quality mock courses serve as a gateway for the learners interested in starting their career in the Global IT sector.

Machine Learning

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

AI, Algorithm and Statistics

• 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

Probability

• 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

Supervised Learning and their Algorithm Part 1

• 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

Supervised Learning and their Algorithm Part 2

• 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 and their Skills

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

Machine Learning Project

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

Artificial Intelligence

• 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

History of AI

• Brief history of Artificial Intelligence

Artificial Intelligence Engineer

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

Data Science

• 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

Data Scientist

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

Steps

Few Easy steps can make you a Certified Expert

Prove your expertise, Get a Proof of your skills as Artificial Intelligence and Machine Learning Program

REGISTER
ONLINEEnroll online for Artificial Intelligence and Machine Learning Program in just 2 minutes and begin learning when and where it works best for you.

LEARN & MANAGE FROM DASHBOARDStudy our exclusive course of Artificial Intelligence and Machine Learning Program and schedule your exam from your Dashboard as per your convenience & appear for your exam from anywhere. (From your home or workplace)

GET INSTANT
CERTIFICATIONEarn your certification, marksheet, and badge instantly on your dashboard, with a hard copy of the proficiency certificate delivered to your doorstep (India only).