Data Science & MLOps Professional
Certificate Course

In Collaboration with

Start a New Career in
6-12 Month

Get
IBM Certificate

1:1 Placement
Mentorship

300+ Hiring
Partner

Course Overview

Data Science & MLOpsCourse

The Data Science course with placement is an intensive 6-month program crafted to develop industry-ready professionals with strong expertise in data science, machine learning, and MLOps. Learners build hands-on proficiency in Python, SQL, data analysis, and model engineering while working with advanced tools such as TensorFlow, PyTorch, Apache Spark, MLflow, Docker, Kubernetes, and multi-cloud platforms like AWS, Azure, and GCP.  

Through real-world projects, IBM-integrated labs, and end-to-end deployment workflows, the program closes the gap between conceptual learning and real-world execution. With dedicated placement assistance in Data Science course graduates are equipped for high-demand roles such as Data Scientist, Machine Learning Engineer, MLOps Engineer, AI Engineer, and Generative AI Specialist across industries. 

Program Duration
0 Month
Training Hours
0 +
Industry Tools
0 +
Hiring Partners
0 +
Who Should Enroll

Who Should Take Data Science and MLOps Professional Certificate

This job-oriented data science course is designed for diverse career stages — from fresh graduates to seasoned professionals 

Who This Course Is Ideal For

Graduates seeking to begin a career in data science and AI domains.

Early-stage professionals aiming to transition into high-growth tech roles.

Mid-career individuals looking to upskill in machine learning and MLOps.

Professionals from diverse fields moving toward data-driven career paths.

Independent learners seeking structured, hands-on industry-focused training.

Minimum Eligibility & Required Knowledge

Bachelor’s degree from any stream or equivalent qualification.

Basic computer knowledge and familiarity with technology is helpful.

Willingness to learn consistently and follow structured training.

Ready to get started ?

Talk to one of our career advisors and find out if this program is right for you

Curriculum

Curriculum of Our Data Science

Technical Training
Non-Technical Training

Data Science & MLOps Professional Certificate Course

Industry-focused data science, MLOps, and generative AI career certification program.

01 Foundation & IBM Tools
02 Machine Learning Core
03 Production ML & MLOps
04 Generative AI & LLM Engineering
05 Domain Specialization
06 Capstone & Placement
MODULE 1

Foundation & IBM Tools

Build the technical floor before touching a single model. You will cover Python programming, SQL databases, mathematical foundations for ML, and exploratory data analysisgiving you the exact toolkit and mindset that data science work demands on day one. 

Tools Covered:
  • Python, Jupyter Notebook, IBM Watson Studio, NumPy
  • MySQL
  • SciPy
  • Pandas, Matplotlib, Seaborn, Pyplot
MODULE 2

Machine Learning Core

Move from theory into real model-building. You will work through supervised learning, unsupervised clustering, and deep neural networks - training, tuning, and evaluating models using industry-standard frameworks that hiring managers actually recognize. 

Tools Covered:
  • scikit-learn, GridSearchCV, RandomizedSearchCV
  • Pandas, NumPy, Matplotlib, Seaborn
  • PyTorch, TensorFlow, Keras
  • IBM Watson Studio, Jupyter Notebook
MODULE 3

Production ML & MLOps

Shipping a model is where most courses stop. This module starts there. You will build automated ML pipelines, containerize and deploy models, run workloads across AWS, Azure, and GCP, and set up monitoring systems that catch failure before it becomes a business problem.

Tools Covered:
  • Apache Spark, Great Expectations
  • MLflow, Docker, Kubernetes, Streamlit
  • AWS SageMaker, Azure ML Studio, GCP Vertex AI
  • Prometheus, Grafana
MODULE 4

Generative AI & LLM Engineering

Go beyond basic prompting and into real LLM engineering. You will work with transformer architectures, integrate production-grade LLM APIs, build RAG pipelines grounded in your own data, and design multi-agent systems that execute complex, multi-step tasks autonomously.

Tools Covered:
  • GPT, BERT, Hugging Face Transformers
  • OpenAI API, Claude API, Cohere API
  • Pinecone, Qdrant, IBM Watson Discovery
  • LlamaIndex, AutoGen
MODULE 5

Domain Specialization

Apply everything you have built to one real industry. Choose from FinTech, E-Commerce, Healthcare, or Educationand complete three applied projects plus a full domain capstone that goes straight into your portfolio. 

Tools Covered:
  • Track A: FinTech — Fraud Detection, Credit Risk, Algorithmic Trading
  • Track B: E-Commerce — Recommendation Engines, Demand Forecasting, Customer Analytics
  • Track C: Healthcare — Patient Risk, Treatment Personalization, Clinical Outcomes
  • Track D: Education — Student Success Prediction, Personalization Engine, Assessment Systems
MODULE 6

Capstone & Placement

Bring everything together into one production-grade project and take it in front of an industry panel. You will go from problem definition through two full development sprints to a live presentationand exit with placement support lined up. 

Corporate Etiquette & Communicative English Training

Essential soft skills for clinical research professionals.

01 English Communication & Grammar
02 Mock Interviews
03 Corporate Etiquette
04 Aptitude
MODULE 1

English Communication & Grammar

Build the communication foundation that every professional setting demands. You will cover grammar, vocabulary, verbal and written communication, non-verbal cues, public speaking, and professional etiquettefinishing with practical application exercises and a framework for continuous improvement. 

What You Will Learn:
  • Basics of Communication
  • Grammar and Vocabulary
  • Verbal Communication Skills
  • Written Communication
  • Non-verbal Communication
  • Confidence and Public Speaking
  • Professional Communication Etiquette
  • Practical Application
  • Continuous Learning
MODULE 2

Mock Interviews

Prepare for every angle an interviewer can throw at you. This practice assessment module runs you through real interview simulations across multiple question typesso nothing catches you off guard on the day. 

What You Will Learn:
  • Personal Introduction
  • Technical Skills
  • Problem-Solving
  • Behavioral Insights
  • Industry Knowledge
  • Hypothetical Scenarios
  • Soft Skills
MODULE 3

Corporate Etiquette

Learn how professionals actually conduct themselves at workfrom the boardroom to the lunch table to the exit interview. You will cover every situation a workplace throws at you before you are in it. 

What You Will Learn:
  • Making the Most of Meetings
  • Dressing Right for the Workplace
  • Being Respectful and Thoughtful at Work
  • Keeping Your Workspace Clean and Organized
  • Using Technology Responsibly
  • Dining with Manners in Professional Settings
  • Building Relationships Through Networking
  • Best Practices for Virtual Meetings and Online Communication
  • Managing Your Time and Meeting Deadlines
  • Understanding and Respecting Cultural Differences
  • Leaving a Job Gracefully
MODULE 4

Aptitude
  • Sharpen the quantitative and logical reasoning skills that appear in every hiring assessment. You will work through problem types that test numerical ability, analytical thinking, and pattern recognition, building both speed and accuracy under test conditions. 
IBM | Industry Partnership

Industry Partnership Courses Offered in Association with IBM

The The job-oriented Data Science course includes programs offered in collaboration with IBM. These programs are offered as an add-on and they feature guided labs, all accessible through the IBM Learning Management System, and bring global best practices directly into the classroom. With IBM’s global reputation and real-world case-driven learning, students graduate with credentials that strengthen their employability in the data science domain and position them at the forefront of tech innovation.

IBM Module

Data Science Methodology

Machine Learning Fundamentals

Developing GenAI Applications

IBM Module

Fraud Detection

Taxi Tips

GPT-3 Personal Assistant  

Tools & Technolog

Tools You Will Learn in Advanced Diploma in Digital Marketing + AI Essentials Course

In our Data Science and MLOps Professional Certificate Course, you will master advanced tools that are used in the industry. With hands-on experience and examples of practical applications, you’ll gain the skills and confidence necessary to get started in high-demand data science roles across multiple domains.

Python icon Python
SQL icon SQL
NumPy icon NumPy
Pandas icon Pandas
Jupyter Notebook icon Jupyter Notebook
IBM Watson Studio
MySQL icon MySQL
SciPy icon SciPy
Pandas icon Pandas
Matplotlib icon Matplotlib
Seaborn icon Seaborn
PyPlot
IBM Data Science Methodology tools
RandomizedSearchCV
GridSearchCV
PyTorch icon PyTorch
TensorFlow icon TensorFlow
Keras icon Keras
Apache Spark icon Apache Spark
Great Expectations
MLflow
Docker
Kubernetes
Streamlit icon Streamlit
AWS SageMaker icon AWS SageMaker
Azure ML Studio icon Azure ML Studio
GCP Vertex AI icon GCP Vertex AI
Prometheus
Grafana
Hugging Face Transformers icon Hugging Face Transformers
GPT models
BERT
Claude API
OpenAI API
Pinecone
Qdrant
IBM Watson Discovery
LlamaIndex
AutoGen
IBM Cloud Pak for Data
IBM Watson AI tools
IBM integrated labs and frameworks across data science
machine learning
MLOps
and generative AI workflows
Curriculum

Skills You Will Learn in Our Data Science Certification Course

Python for Data Science
SQL & Data Handling
Data Cleaning & Preprocessing
Exploratory Data Analysis
Statistical Analysis
Machine Learning Modeling
Feature Engineering
Model Evaluation & Tuning
Deep Learning (TensorFlow / PyTorch)
Data Pipelines (Apache Spark)
MLOps (MLflow, CI/CD basics)
Model Deployment
Docker & Kubernetes
Cloud ML (AWS / Azure / GCP)
Model Monitoring
LLM Application Development
Curriculum

Data Science & MLOps Certification You Will Earn

Upon completing the Data Science course, you will receive a globally recognized certification from Win In Life Academy. In addition, learners earn separate certifications for IBM Modules and Guided Labs on Data Science, Machine Learning, and MLOps through IBM’s official e-learning platform. Together, these certifications significantly strengthen your professional profile and demonstrate your employability in the Data Science and MLOps space.

Win In Life Academy Certificat

Globally recognized diploma certificatio

IBM Module Certification

Prompt Engineering, Cognos Analytics, Generative AI & IBM lab

Note:

To secure your Data Science and MLOps Professional course certificate, you must successfully complete the data science training from Win in Life Academy.

Placement Support

The Win In Life Placement Mentorship Program

At Win In Life Academy, we see every learner as a future professional in the making. Our Placement Mentorship Program is part of data science placement support, built to personally guide, nurture, and mould them through every stage of their journey, mentoring each student into a confident, capable professional ready to build a successful career in the current industry.

Assess Your Knowledge & Prepare for Interviews

Learners work closely with expert data science trainers to evaluate their understanding of core concepts and identify areas that need improvement. This phase bridges course learning with interview readiness through structured evaluations, technical skills training, and non-technical mock preparation. With continuous trainer guidance and performance tracking, learners revise their technical understanding, get tips for communication, and build confidence to perform effectively in technical and HR interviews.

Knowledge Assessment Sessions
Technical Mock Preparation
Non-technical Mock Preparation
Articulation Skill Training
Confidence Building Sessions
Weekly Evaluation & Scorecard
Concept Revision Sessions
Key Support:
Identify Knowledge Gaps
Targeted Interview Prep
Personalized Feedback
Role/Industry Based Question Drills
HR Style Mock Interview
Soft-skill Evaluation
Role-play Interview Exercises
Continuous Performance Monitoring
Recap of Technical Concepts
illustration

Understand Career Roles and Develop Your Profile

In this phase, learners are given a detailed view of the placement process, and expectations are set. They gain clarity on real-world data science career roles, eligibility requirements for different job functions in the IT and related domain, companies that are hiring, and what will be the career path for each of the roles. Guided by trainers, learners get an opportunity to develop their resumes for specific data science job roles. They also get support for optimizing LinkedIn profiles. The process ensures that every learner is strategically positioned for suitable job opportunities and equipped to present a strong professional profile.

Career Roles Briefing
Placement Process Expectation Setting
Resume Preparation Support
LinkedIn Optimization Support
Eligibility Checks for Roles
Profile Positioning Guidance
Additional Upskilling Assistance
Key Support:
Career Path Understanding
Placement Timelines Overview
Identifying Suitable Roles
Developing Resume for Roles
LinkedIn Profile Building
Professional Branding Tips
Industry Insights
Interview Readiness Support
illustration

Apply for Roles and Attend Interviews

In this phase, learners transition from preparation to real-world opportunities. The Placement Team actively maps each candidate’s profile to suitable job openings, briefs them on role expectations, and provides personalized coaching for upcoming interviews. Through one-on-one guidance, employer coordination, and structured feedback after every interaction, learners gain practical exposure to hiring processes and the confidence to perform effectively. The placement team continues to support ongoing placement efforts and ensures every learner remains connected until successfully placed.

Check Job Opportunities
Mapping Profile to Roles
Job Description Briefing
Role Application Process
1:1 Interview Coaching
Interview Scheduling & Coordination
Post-placement Assistance
Key Support:
Curated Job Listings
Daily Updates on Opportunities
Profile to Role Matching Support
Job Application Guidance
Resume Submission Support
Personalized Interview Coaching
Employer Coordination
Interview Follow-up Support
illustration

Data Science Roles this Course Prepares You For

MLOps Engineer

₹6 LPA – ₹12 LPA  

₹15 LPA – ₹20 LPA  

₹25 LPA – ₹33 LPA+ 

Machine Learning Engineer

₹4 LPA – ₹8 LPA

₹10 LPA – ₹18 LPA

₹25 LPA – ₹35 LPA+

Data Science Specialist

₹4 LPA – ₹8 LPA

₹10 LPA – ₹18 LPA

₹25 LPA – ₹30 LPA+

Cloud AI Engineer

₹6 LPA – ₹12 LPA  

₹12 LPA – ₹22 LPA  

₹30 LPA – ₹45 LPA+ 

Generative AI Specialist

₹6 LPA – ₹12 LPA

₹12 LPA – ₹25 LPA

₹30 LPA – ₹60 LPA+

AI Model Monitoring & Governance Expert

₹5 LPA – ₹10 LPA

₹15 LPA – ₹20 LPA

₹25 LPA – ₹45 LPA+

What Our Students Say

Sharmistha Malakar

The training at WILA empowered me with confidence, real-world skills, and career clarity.

Sharmistha Malakar

Manupriya M

WILA's hands-on training and mentorship helped me grow professionally and gave me career direction.

Manupriya M

Paramanandhan

The comprehensive training and supportive environment at WILA gave me the tools to succeed.

Paramanandhan

Sooryagayathri Sujith

WILA's career-focused training transformed my approach to learning and made me job-ready.

Sooryagayathri Sujith

Kuncham Vasanth Kumar

WILA's structured training process helped me build practical skills and confidently approach job opportunities.

Kuncham Vasanth Kumar

Tejavath Renuka

The supportive training environment at WILA enhanced my skills and gave me the confidence to excel.

Tejavath Renuka

Rupa Choudhury

WILA’s training and placement support helped me gain confidence and prepare effectively for real job opportunities.

Rupa Choudhury

Pranamya P Gunaga

The mentorship and structured approach at WILA helped me stay focused and prepare consistently for opportunities.

Pranamya P Gunaga

Mahesh Babu

WILA’s career preparation process guided me step-by-step, making the transition from learning to interviews much smoother.

Mahesh Babu

Subha Jeyabalan

WILA helped me stay disciplined throughout training and approach interviews with better clarity and confidence.

Subha Jeyabalan

Vara Prasad

The training environment at WILA pushed me to improve consistently and prepare seriously for job opportunities.

Vara Prasad

Tools & Technolog

Why Choose WILA for Advanced Data Science and MLOps Professional Certificate Course

This course is designed for diverse career stages — from fresh graduates to seasoned
professionals

Global Accreditations

IBM Program Partner

Industry-Aligned Curriculum

Flexible Learning Modes

Hands-On Projects & Labs

IBM Integrated Learning Modules

Industry Expert Mentorship

Multi-Cloud Exposure

Placement Mentorship Program

Internship Opportunities

Curated Job Opportunities

Globally Recognized Certification

Ready to Transform Your Career

Join hundreds of professionals who launched their careers in
digital marketing and AI with Win In Life Academy

FAQ

Frequently Asked Question (FAQs)

Ready to Transform Your Career

Join hundreds of professionals who launched their careers in digital marketing and AI with Win In Life Academy

Is this the best data science course in India for freshers?

This is a job-oriented data science course in India designed for freshers and career switchers. It focuses on practical skills, real-world projects, and placement mentorship aligned with current hiring trends.

In India, entry-level data science salaries typically range between ₹4–10 LPA. Candidates with strong projects, internships, and interview preparation tend to secure higher packages.

The duration of this data science course is 6 months and fees depends on the course fees at the time of enrollment which is subject to change. Please talk to our course counsellors for more detailed information on course fees.  

This is a support-based data science course with job placement. You receive mentorship, resume building, and interview preparation, but placement depends on your performance. 

No prior experience is required. This data science training institute starts from basics and builds up to advanced machine learning concepts, making it suitable for beginners. 

This machine learning training program includes real-world projects like predictive modeling, dashboards, and business problem-solving case studies to build a strong portfolio. 

This AI and ML course covers Python, Pandas, NumPy, Scikit-learn, TensorFlow, SQL, Power BI, and MLOps tools used in real industry workflows. 

Yes, you will receive a data science certification course certificate validating your skills in data analysis, machine learning, and AI. 

Yes, this is an online data science course with certificate that also includes internship or project-based experience for practical exposure. 

Our Data Science & MLOps course is available in Bangalore, Chennai, and Hyderabad, with both offline and hybrid learning options to suit different schedules of our learners. 

The Win In Life Placement Mentorship Program

Industry-aligned programs with placement mentorship, IBM certification & real-world projects.

Take Your Career Forward

Get Your Free Counseling

The Win In Life Placement Mentorship Program

Industry-aligned programs with placement mentorship, IBM certification & real-world projects.

Free Download

Get Your Course Brochure