CP-MLDS Foundation stands for “Certified Professional – Machine Learning and Data Science Foundation” certification prepared and honored by "Agile Testing Alliance".

The course is applicable for all roles and knowledge, experience & certification is consciously designed for all those who want to learning practical Machine learning and Data Science.

What is new in this version 1.3 of CP-MLDS
As per this latest version of learning objectives,

  • Module 4 for Linear Regression now includes Regularization Techniques of
    • i. Lasso Regression and
    • ii. Ridge Regression
  • Module 5 for classification is added with Decision Tree based classification technique.
  • Enhancement in CP-MLDS Learning Structure by introducing Online Training Mode, which would help participants to join the training program anywhere across the Globe –
    • i. Instructor Led Classroom Training Mode - At the same time, the learning structure has been modified to include mentored practical assignments post the 3 days training.
    • ii. Instructor Led Online Training Mode – Introduction of Instructor LED Online training Mode to the CP-MLDS Learning Structure to have 4 half days Online sessions over two consecutive weekends. Intermediate Week is meant for mentored practical assignments.

How is CP-MLDS useful?
Machine learning is based on algorithms that can learn from data without relying on rules-based programming.

As ever more of the analog world gets digitized, our ability to learn from data by developing and testing algorithms will only become more important for what are now seen as traditional businesses. Google chief economist Hal Varian calls this “computer kaizen.”

For “just as mass production changed the way products were assembled and continuous improvement changed how manufacturing was done,” he says, “so continuous [and often automatic] experimentation will improve the way we optimize business processes in our organizations.

This is where it is clear, that we are into a computer kaizen world. A world where Machine learning and Data science algorithms are driving this self-learning and continuous learning process and bringing about a massive change in almost every industry. We have machine learning and data science now being used in banking, insurance, health care, sports, manufacturing, smart cities, Iot Solutioning, Automotive, Aviation, Shipping and every other industry for that matter.

Machine learning and Data science need thus has increased multifold in past few years and would keep on increasing. At the same time there is a dearth of experienced professionals who know Machine learning and Data Science. There is no dearth of machine learning and data science programs where folks would need to spend infinite amount of time and efforts to acquire this knowledge. The challenge is for working professionals to spend so much time. Most often this rigor is lost over few weeks or months.

This program solves this issue addresses two basic needs

  • Practical tool-based Machine learning and Data Science exposure for every working professional
  • Allow working professionals to acquire this knowledge in the most agile manner

Am I Eligible?
There are no pre-requisites for this certification program except having some prior knowledge of any programming language and basics of mathematics and statistics. Program is Python driven and having prior knowledge of Python would be an advantage.

What is the Training and Certification Exam structure?
CP-MLDS is one of the only FastTrack program specially designed to Reskill / Upskill working professionals.

The Training and Certification structure is composed of

  • A1 – Instructor Led Classroom sessions – 3 full days (24 Hrs) Instructor led fully hands on sessions
  • B1 - Project assignments and Mentoring – Post the three days training program, 2 projects assignments will be shared by the mentor. The process is designed to help the participants strengthen their learnings.
  • A2 – Instructor Led Online sessions-Part1 – Over the 1st Weekend (5 Hrs each day) Instructor led Online sessions
  • B2 - Project assignments and Mentoring – Post the 1st weekend Online training sessions, 2 projects assignments will be shared by the mentor. The process is designed to help the participants strengthen their learnings.
  • C2 – Instructor Led Online sessions-Part2 – Over the 2nd Weekend (5 Hrs each day) Instructor led Online sessions
  • D2 - Project assignments and Mentoring – Post the online training program, 2 projects assignments will be shared by the mentor. The process is designed to help the participants strengthen their learnings.
  • E - Certification Exam. The certification exam comprises of one Theory Section (40 Marks) and one Practical section (60 Marks). Theory section is of 1 hour and practical section is of 2 hours. Getting 60% in both the sections of exam is necessary to get the CP-MLDS certificate.
    • The training program (Part [A1+B1] or Part [A2+B2+C2+D2] above) is not mandatory for someone to go for CP-MLDS certification.
    • e. Thus certification exam can be taken by following either of the two routes -
      • Route 1 - by going through a formal Lab Training (step [A1+B1] above) and then going for the certification exam.
      • Route 2 – This is a direct route by going through a formal Instructor Led Online Training (step [A2+B2+C2+D2] above) and then going for the certification exam E.
      • Route 3 – This is a direct route which allows someone to appear for the exam E and get the CPMLDS (Foundation) certification after passing the exam. This route is recommended for someone already familiar with the subject.
For more information on CP-MLDS please visit the following url http://devopsppalliance.org/cp-mldsf.html


#MLDSday is Agile Testing Alliance’s community initiative part of its Meetups to help everyone in the technology spectrum to pick up practical basics of Machine Learning and Data Science

Machine Learning and Data Science is on it’s way for being mainstream. It is one of the most sought-after skills in today’s fast changing Information Technology landscape.

The need cannot be more profoundly understood unless by going through the following article on Harvard Business Review, as Nokia is getting their entire team understand Machine learning,

“The Chairman of Nokia on Ensuring Every Employee Has a Basic Understanding of Machine Learning — Including Him”

It is really high time for all of us to also learn, understand and experience Machine Learning and Data Science and hence our community initiative #MLDSday.

#MLDSday is designed to be fully hands on and it is recommended that participants carry their own laptops. The day will begin with a small introduction about ATA Meetup followed by a detailed lab session covering basics of Python and the important libraries to cover the machine learning and data science basics.


  • 1. Introduction to Machine Learning and Data Science
  • 2. Getting Started for MLDS DAY and lab preparation/Setup
    • a. Anaconda
    • b. Jupyter Notebook
    • c. Google Colaborative Tool in the cloud.
  • 3. Introduction to python - Basic concepts, programming constructs and data structures and functions
    • A. Data types - Int, float, bool, complex, str
    • B. Modules and Packages
    • C. Operators
    • D. Conditional and Loops
    • E. Data structures – i) List ii) Tuples iii) Set iv)Dictionary
    • F. Functions
  • 4. Pythonic Operations relevant for Machine Learning
    • a. Comprehensions
    • b. lambda
    • c. Map
    • d. Reduce
    • e. Filter
  • 5. Understanding NumPy Library and its usage in ML/DS
  • 6. Understanding Pandas Library and usage in ML/DS
  • 7. Understanding Matplotlib + Seaborn Libraries and its usage in Data Visualization
  • 8. Demo for following
    • a. Exploratory Data Analysis (EDA)
    • b. NLP-Text Analysis with Gensim

  • A. Machine with minimum 4 GB RAM on any of the following OS
    • 1. Windows
    • 2. macOS
    • 3. Linux (Ubuntu)
  • B. Kindly download Anaconda 5.x with Python 3.6 or higher version from the URL as per the respective OS https://www.anaconda.com/download/


Agile Testing Allance or ATA is a non-profit community and certification organization. It is a global alliance of visionary industry leaders, prominent authors, leading educational institutions and technology evangelists who are passionate about proliferation of agile, devOps and new age technology. ATA has a new age technology umbrella called as DevOps++ Alliance which is trying to proliferate the new age technological changes for the Information technology community.

ATA has a growing global presence and is now present in 17 countries.

ATA organizes meetups, events like CPSAT day, JAVA Boot Camp, competitions like BugATAhon, AutomATAhon, QuizATAhon, BlogATAhon, conferences like Selenium Summit, DevOps Summit, Automation Summit and keeps looking for host organizations who can help us grow the community, helps in growing technology awareness across the globe.

If you are interested in partnering with ATA please get in touch with us
@AgileTA, https://www.linkedin.com/in/agiletestingalliance/


If you are interested in learning and getting a globally recognized certification on Machine Learning and Data Science, please be a part of CP-MLDS Programs. Certified Professional – Machine Learning and Data Science (Foundation and Advanced)

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Feedback of #MLDSday attended by Ajay Balamurugadas
Feedback of #MLDSday attended by Vijaykannan G
Feedback of #MLDSday attended by Sathisha G
Feedback of #MLDSday attended by Amulya Janakiram
Feedback of #MLDSday attended by Nagesh Deshpande
27-Oct-2018 (BMC Software) Testimonials
Feedback of #MLDSday attended by Vivek and Satyaprakash
Feedback of #MLDSday attended by Umesh Kataria
Feedback of #MLDSday attended by Simran P
Feedback of #MLDSday attended by Prashant Kumar
Feedback of #MLDSday attended by Tejashri
Feedback of #MLDSday attended by Sheetal and Rutu
Feedback of #MLDSday attended by Manjit Kumar
Feedback of #MLDSday attended by Pravin
Feedback of #MLDSday attended by Shankar
Feedback of #MLDSday attended by Nilesh
Feedback of #MLDSday attended by Murtaza
Feedback of #MLDSday attended by Dhanashree
Feedback of #MLDSday attended by Ghanshyam
Feedback of #MLDSday attended by Bhusan
Feedback of #MLDSday attended by Ashish
Feedback of #MLDSday attended by Aniket
Feedback of #MLDSday attended by Mahesh Raut
Feedback of #MLDSday attended by Ruturaj Doshi
Manjit Kumar
Simran Patil
Ghanshyam Thorat
Tejashri Jadhav
Abhijeet Joshi
Ruturaj Doshi
Vikas Bhandare
Sheetal Koparde
Prashant kumar
Dhanashree Nandkumar Murge
Umesh Kataria
Varun Deshpande
Nilesh Kolapkar
Ashish Kadam
Rohit Ajit Harnikar
Shubhangi Jain
Yogesh Dengle
Shankar Kisan Salunkhe
Shripal Chopda
Yogesh Dingankar
Chandrashekhar Gosavi
Mahesh Raut
Pravin Patil
Shardul Kulkarni
Smit Burde
Vinayak Gadkari
Mayank Jain
Bhushan Borole
Satyaprakash Tiwari
Aniket Kawre
Deodatta Marathe
Yogesh Chavhan
Prajakta Advant
Vivek Gajendra
Vijay Nagmoti
Kedar Jedhe
Vivek Patel
Harshal Mulay
Samar Gajbhiye
Himani Yadav
Abhijeet Kudale
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Python Boot Camp - Enables every one into the Python world

Python has become one of the most popular languages and one of the de-facto needs if you want to get into Machine Learning and Artificial Intelligence

The boot camp is 1 day instructor led online program which will cover basics of python needed for picking up ML and AI and/or Selenium Automation Testing, more over the entire cost is redeemable on any of our ATA Events for the next 6 months.

Participation and Attendance Certificate

You will be getting a participation and attendance certificate and digital badge for attending this program.

Learning Objectives for Python Bootcamp:

  • 1. Getting Started and lab preparation/Setup for the python boot camp
    • 1. Anaconda
    • 2. Jupyter Notebook
    • 3. Environment Setup
  • 2. Introduction to python
    • 1. Basic concepts
      • 1. Variables
      • 2. Basic Data types - Int, float, bool, complex, str
      • 3. Modules
      • 4. package
  • 3. Programming Constructs in python
    • 1. Operators
    • 2. Loops
  • 4. Python Data Structures and Operations(Selection, indexing, slicing)
    • 1. List
    • 2. Tuples
    • 3. Set
    • 4. Dictionary
  • 5. Functions in Python
  • 6. Operations relevant for machine learning
    • 1. Comprehensions
    • 2. lambda
    • 3. Map
    • 4. Reduce
    • 5. Filter
  • 7. NumPy, Pandas and Matplotlib introduction and Usage
Show More Upcoming #PythonBootCamp

Testimonials of CP-MLDS

Feedback of CP-MLDS program attended by Vidya
Feedback of CP-MLDS program attended by Saravana
Feedback of CP-MLDS program attended by Ranjan
Feedback of CP-MLDS program attended by Brajesh.