(AI-ML®) Artificial Intelligence & Machine Learning Training Program

Master your Career with Artificial Intelligence Skills!

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In the Past Decade, Python and R programming become most preferred languages for Data Science and considered as more powerful and flexible platforms for building Machine Learning systems with Subject Matter Codes and Algorithms. Python and R Programming with Machine Learning is designed to provide in depth knowledge on building Machine Learning algorithms

Artificial Intelligence?

Artificial Intelligence (AI) is a computer science, which create machines to think and learn like a humans using multiple programs and algorithms. IT performs any Intellectually task with collection of Information or Datas.

Machine Learning? 

Machine Learning is a In-dept knowledge of Artificial Intelligence to be focus on design and to development a software coding and algorithms that learn, identify and calculate the patterns that exist in data provided as input. Artificial intelligence is the catalyst for IR 4.0. This innovation will set an additional or a new approach of governing and managing organizations. Machine learning techniques enable us to automatically extract features from data so as to solve predictive tasks, such as speech recognition, object recognition, machine translation, question-answering, anomaly detection, medical diagnosis and prognosis, automatic algorithm configuration, personalisation, robot control, time series forecasting, and much more. Learning systems adapt so that they can solve new tasks, related to previously encountered tasks, more efficiently.

Machine Learning is defined as a practice of using the suitable algorithms to utilize the data for learning and predict the future trend for a particular area. Machine learning software contains the statistical and predictive analysis that used to recognize the patterns and find the hidden insights based on perceived data. The best examples of machine learning application is Virtual assistant devices like for example: Amazon’s Aleza, Google Assistance, Apple’s Siri, Microsoft’s Cortana and social platforms like Facebook works on Machine learning principles and predict or respond as per the past behavior of the users to suggest them the most suitable things.

Both data science and machine learning as a service has its own use and important into various fields but both are based on data that can be gathered, analyzed and applied into predicting certain answers in a specific filed. Data science is simply related with data gathering and analysis while machine learning datasets are the process of feeding data sets for training the machines with the help of certain algorithms as per the requirements.

Machine Learning Algorithms

  • Supervised Machine Learning Algorithms: To make predictions, we use this machine learning algorithm. Further, this algorithm searches for patterns within the value labels that was assigned to data points.
  • Unsupervised Machine Learning Algorithms: No labels are associated with data points. Also, these machine learning algorithms organize the data into a group of clusters. Moreover, it needs to describe its structure. Also, to make complex data look simple and organized for analysis.
  • Reinforcement Machine Learning Algorithms – We use these algorithms to choose an action. Also, we can see that it is based on each data point. Moreover, after some time the algorithm changes its strategy to learn better. Also, achieve the best reward.

Course Outcome & Benefits of ITechGurus

  • Have a good understanding and challenges of machine learning: data, model selection, model complexity, etc
  • Using PYTHON Programming, Machine Learning Algorithms
  • Study Materials and workbooks
  • 3 Months Live Projects with Placement
  • Professional Responsibilities and ethics
  • Increase your opportunities for career advancement and for increased earnings
Qualification Experience Target Audience
Bachelor Degree (or) Master Degree Not Required

Candidates who want to be a Data Scientist, Big Data Analyst, Analytics Manager/Professionals, Business Analyst, Software Developer, Programmers, Team leaders, Business Analyst, Data Base Analyst and executives.

  • Graduates who are looking to build a career in Data Science and Machine Learning
  • Employees – Organization is planning to shift to Big data tools

Mid-level Executives, Managers with Knowledge of basic programming

AI-ML® (Master in Machine Learning) is a Certification offered by ITechGurus


  • Multiple Choice
  • 60 questions per exam
  • One mark awarded for every right answer
  • No negative marks for wrong answers
  • 120 minutes duration
  • Proctored online exam

Course Agenda


CHAPTER 1: Python for Machine Learning

  • Introduction to Python
  • Python Environment setup [ Installing Python and Anaconda for Mac / Linux /Windows]
  • Your First program in Python
  • Jupyter Notebook – an overview
  • Operator and Variables with their type
  • Understanding Conditional and Iterative Statements
  • Implementing Functions in Python
  • A brief introduction to data structure (List & Dictionary)
  • Understanding the concept of Standard Libraries
  • Reading a CSV File in Python - Introduction to Pandas
  • Understanding data frames and basic operations
  • Regular Expressions
  • Challenge: Python Coding Challenge
  • Theory of Operators
  • Exercise
  • Understanding Operators in Python
  • Operators test
  • Understanding variables and data types

CHAPTER 2: Introduction to Machine Learning

  • Human Learning and its types
  • Machine learning and its types
  • Well-posed learning problem
  • Application of Machine learning
  • Issue in Machine Learning

CHAPTER 3: Preparing to model

  • Basic data types
  • Exploring Numerical Data
  • Exploring categorical data
  • Exploring relationship between variables
  • Data issues and remediation
  • Data Pre-processing

CHAPTER 4 : Modelling and Evaluation

  • Select a Model
  • Training model - Holdout, K-fold cross validation, botstrap sampling
  • Model representation and interpretability - under-fitting, over fitting, bias-variance tradeoff
  • Model performance evaluation - classification, regression, clustering
  • Performance improvement

CHAPTER 5 : Feature Engineering

  • Feature construction
  • Feature Extraction
  • Feature Selection


    CHAPTER 5 : Brief Review of probablity

  • Basic concept of probablity and ramdom variables
  • Discrete distributions - Binomial, Poisson, Bernoulli, etc..
  • Continous distribution - Uniform, Normal, Laplace
  • Central Theorem
  • Monte Carlo approximation

CHAPTER 6 : Bayesian concept learning

  • Bayes theorem - Prior and posterior probablity, likeihood
  • Concept learning
  • Bayesian Belief Network


CHAPTER 7: Supervised larning claassification

  • Basic of Supervised learning - classification
  • K-Nearest Neighbour
  • Decision Tree
  • Ramdom forest
  • Support Vector Machine

CHAPTER 8: Supervised Learning Regression

  • Simple linear regression
  • Other regression techniques

CHAPTER 9: Supervised Learning Regression

  • Basics of unsupervied learning
  • Clustering techniques
  • Association Rules


CHAPTER 10: Basics of Neutral Network

  • Understanding biological nuerons and artificial neurons
  • Type of acivation functions
  • Early implementations -McCulloch Pitt's, Rosenblatt's Perceptron, ADALINE
  • Architectures of Neural Networks
  • Learning Process in ANN
  • Back Probagation


Working on Live Projects

Review & Exam

Certification Exam

Interview Cracking Tips

Training Schedule

(AI-ML®) Machine Learning Certification Training Classroom Training Feb 29 2020 (Weekends Class) Weekends Class - 09 AM - 6 PM Chennai 39999 + Tax Enroll
(AI-ML®) Machine Learning Certification Training Classroom Training Feb 29 2020 (Weekends Class) Weekends Class - 09 AM - 6 PM Bangalore 39999 + Tax Enroll
(AI-ML®) Machine Learning Certification Training Classroom Training Feb 29 2020 (Weekends Class) Weekends Class - 09 AM - 6 PM Chennai 39999 + Tax Enroll
(AI-ML®) Machine Learning Certification Training Classroom Training Feb 29 2020 (Weekends Class) Weekends Class - 09 AM - 6 PM Bangalore 39999 + Tax Enroll

Who can Learn

Candidates who want to be a Data Scientist, Big Data Analysis, Analytics Manager/Professionals, Business Analyst, Developer

  • Graduates who are looking to build a career in Data Science and Machine Learning
  • Employees – Organization is planning to shift to Big data tools

Mid-level Executives, Managers with Knowledge of basic programming


Qualification Experience
Any Degree (or) Diploma (or) Global Equivalent Not Mandatory

Faq (Frequently Asked Questions)

What does Data Science?

Data science is an Field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data gathering and mining. Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.

Why this Course?

This course comes as a perfect package of required Data Science skills including programing , statistics and Machine Learning. If you aspire to be Data Science professionals, this course can immensely help you to reach your goal.

What is the Scope of Machine Learning in Future?

Forbes Statistics shows, By 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000.

How many days take to learn the complete Machine Learning 

96 Hours (12 Days) of Classroom training is enough to update your skills, tools, techniques and knowledge about the data science and Machine Learning Programs.

Am i eligible after Higher Secondary Schooling?

Off-course, You can take this training after Higher Secondary

What about Job Assistance?

Providing 100% Placement Assurance in MNC's

What are the courses offered® by ITechGurus?

ITechGurus offers various courses like Agile®, PMP®, CAPM®, PgMP®, RMP®, SixSigma, Digital Marketing, Data Science, Machine Learning, Artificial Intelligence, Scrum and etc,,

Am I allowed to take breaks during the training?


Can I approach Corporate with ITechGurus

You can get the customized quote for your Needs of Corporate training.

Is this Course Including the Certification Exam 


Can I interact with Data Science Mentors? 

Yes, You can interact with all mentors directly with BRAINskills.org

Does the fee include the examination fee as well? 

Yes, Its including exam Fee

Do I get a copy of the course certificate by post or by email? 

We issue certificate soft copy by email at the end of the session.

What is the cost of Data Science Certified in Machine Learning Exam? 

  • Membership fee: 10 USD
  • Exam Fee: $210
  • Exam Attempt: 3 Times

Where can I find a list of upcoming workshops? 

You can visit our Training/Events section in the homepage for various courses and you will be able to view the training schedules.

Whom do I contact in case of any query regarding any of the Training? 

For any course-related information, please email at Support@itechgurus.org or connect with us through live chat, or Direct Phone (9566008068).

I want ITechGurus to conduct training at our company’s / Onsite. Whom should I contact? 

Please contact our Training and Development team, Support@itechgurus.org to get addressed of the corporate training.

How should I make the payment and what are the modes of payment available? Do I get a receipt or confirmation for the same? 

Payments can be made using any of the following options and receipt of the same will be issued to the aspirants via email.

Mode of Payments:

  • Credit card / Debit card / internet banking (Online Payment)
  • Paypal
  • Bank Transfer (ACH)
  • Check

DO you Share Trainer Details with Candidates? 

Yes, Off Course, You Can Interact trainer after Enrollment (or) you can get trainer profile before enrolment.


Watch the Course Video

Machine Larning Course

Listen the Video


Project Manager @ Ensono Technologies

I just want to let you know, I cleared PMP exam today. Thank you very much Mr. Prasanth and Manick.

Please find my certificate copy


Ramanujan M Krishnaiyengar
Associate Manager at Microland Ltd / Creative Director at Musicloudstudio & Technology

God's Grace! Very special thanks to ITech Gurus. Kick started PMP exam preparations with ITech Gurus. Attended the classes during weekends. Especially thanks to Sri Dr. Chandramouli and Prasanth for guiding me and motivating me to appear for the exam. Sri Dr Chandramouli Sirs classes is a booster for the preparations. He shares PMBOK and PMIsm more practically. Training is more informative and also guides you from the exam preparation stand point. I just followed the same approach. I studied PMBOK Knowledge areas and simultaneously referred Rita for more clarity and questions. As i finished each KA took the questions from ITTech gurus materials, Udemy (DrCMS) and Rita and go back to the books to clarify and started to integrate all my learning and did brain writing where ever required. God's grace was lucky enough to get 200 mock questions from PMI itself when i booked the exam as an offer. This questions also helped me to understand from PMI perspective. Preparation will never end until you fix a date. So finalized my exam dates 3 days before and applied leave for prepping.  Thanks to Prasanth for timely help. The way he helps the candidates and support is very appreciative. He answers at any point in time of your preparation.

My Experience:

  • Questions are situation and scenario based. 

  • Need not to memorize ITTO. Understand them.. not to worry too much on this.

  • Read / PMBOK and apply suitable logic in exam questions. Especially for Procurement's, risks, schedule, communication.

  • Numerical are easy. Understand the formulas

  • Ensure to go through the ECO from PMI website it will help you realize few questions.

  • Agile there are few questions.but did not worry about. But choose answers which you feel correct (logic /experience).

MY PMI ID: 4343747

Cheena Jain
Distributed Systems Engineer @ Talpro

I moved all the way from Delhi to Chennai for this training. It is a life time experience to learn from Mr. Naresh sir. Perfect guidance and motivated environment. I am placed as a Distributed Systems Engineer now, credit goes to the guidance and constant motivation given by Mr. Naresh. I owe my gratitude to ITechgurus.

Trainers and Consultants

Manickavel Arumugam

Manickavel Arumugam

Project Management Consultant

Highlights: ✪ About 23 years of experience in construction, with emphasis on Project Management & Site Control...


Chief Knowledge Officer

Experienced in AS/400 (RPG III, RPG IV,CL), Synon/2E Training Experienced in ISO audits PMI Volunteer...
Chandramouli S

Chandramouli S

Digital Leader

My vast experience includes Program management, corporate and Project governance, customer relationship management,...
Shriram Kumar

Shriram Kumar

Sr.Delivery Mgr

Experienced Project Manager with a demonstrated history of working in the information technology and services...
Mohamed Noordeen

Mohamed Noordeen

Lead Data Scientist

I am an aspiring candidate with ardent desire to excel in my position where ever and whatever I am...

Shriram Venkat Peddhibhotla

Executive Manager

Executive Manager (Process Excellence & PMO) at Deloitte US India Offices
Sanjay kumar

Sanjay kumar

Founder / Managing Partner

ITechGurus, Organization founded in 2013 to provide world class solutions for professional education and training...


Director - Business Development

An accomplished, results driven professional with almost 10 years of experience in professional services...

Our Course Packages


₹ 39999
3 Months


Online Course

₹ 39999
3 Months