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Data Science & MLOps Professional Certificate
In Collaboration with
Placement Training and Mentorship
22 Projects
IBM Certification
24*7 Access to LMS
How does Data Science and MLOps Professional Certificate
Help in your career?
Program Details
Key Takeaways
Comprehensive Data Science Expertise:
Gain in-depth knowledge of core data science concepts, including Python programming, SQL, machine learning, and deep learning. Master the tools and techniques required to analyze, model, and derive insights from complex datasets.
Real-World Project Experience:
Build a strong portfolio with 22 deployed projects across key domains like FinTech, Healthcare, E-commerce, and Education. Apply the concepts learned in practical, real-world scenarios, solving industry-specific problems with advanced data science techniques.
Hands-On MLOps Skills:
Develop a deep understanding of MLOps practices, enabling you to automate data pipelines, deploy machine learning models at scale, and manage end-to-end workflows across multi-cloud environments using industry-standard tools like Docker, Kubernetes, and Apache Spark.
Industry-Recognized Certifications & Career Readiness:
Prepares you for high-demand roles like Data Scientist, MLOps Engineer, and Machine Learning Engineer. Benefit from expert career guidance, mentorship, and global placement opportunities, ensuring you're ready to excel in the data science and MLOps workforce.
Data Science and MLOps Course Curriculum
Expert Designed Data Science and MLOps Course for Students and Professionals
Non Technical training
- English Communication & Grammar
- 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
- Mock Interviews
- (Practice Assessment Test)
- Personal Introduction
- Technical Skills
- Problem-Solving
- Behavioral Insights
- Industry Knowledge
- Hypothetical Scenarios
- Soft Skills
- Corporate Etiquette
- 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
Aptitude
Data Science and MLOps Course Curriculum
This Data Science & MLOps course is designed to develop both strategic and technical expertise in data science, machine learning, and MLOps practices. Structured across six in-depth modules, the course takes you on a progressive learning journey from the foundations of data science and machine learning to advanced MLOps, automation of workflows, and large-scale AI system deployment. The modules combine theoretical knowledge with hands-on projects to ensure you gain the practical skills needed for real-world challenges.
INDUSTRY PARTNER PROGRAMS OFFERED IN ASSOCIATION WITH IBM
The Data Science and MLOps professional certificate includes integrated learning components delivered in collaboration with IBM. These modules feature guided hands-on labs accessible through the IBM Learning Management System, bringing industry-grade data science, machine learning, and MLOps practices directly into the training experience. With IBM’s global expertise and real-world scenario-driven learning, students graduate with enhanced employability and the practical skills needed to excel in advanced data science, machine learning operations, and generative AI roles.
IBM Course Name |
Guided Lab |
|---|---|
Data Science Methodology
|
Fraud Detection
|
Machine Learning Fundamentals
|
Taxi Tips
|
Developing GenAI Applications
|
GPT-3 Personal Assistant
|
Tools to be CoveredData Science & MLOps Professional Certificate
IBM Watson Studio
NumPy
MySQL
SciPy
Pandas
Matplotlib
Seaborn
Scikit-learn
PyTorch
TensorFlow
Keras
MLflow
Docker
Kubernetes
Streamlit
AWS SageMaker
Azure ML Studio
GCP Vertex AI
Prometheus
Grafana
GPT
Data Science and MLOps Professional Certificate
Once you complete a Data Science and MLOps professional certificate, you will get a globally recognized certification from Win in Life Academy.
Globally Recognised Certification
Note: To secure a Data Science and MLOps professional certificate, you must successfully complete the training from Win in Life Academy.
Our Distinctive Approach
We offer exceptional learning experience in Data Science & MLOps Professional Certificate by blending industry-aligned curriculum, cutting-edge tools, and mentorship from seasoned professionals in data science and machine learning operations.
Applied Learning & Real-World Projects
Engage in hands-on learning through guided IBM labs, live data science simulations, and real-world projects that tackle industry challenges in machine learning, MLOps, and AI model deployment. Work on projects that focus on data engineering, automation of workflows, and building scalable AI solutions across multi-cloud environments.
Mentorship from Industry Experts
Learn directly from experienced data scientists, MLOps engineers, and machine learning specialists who share invaluable insights into the latest industry trends and technologies. Receive personalized mentorship on applying tools like TensorFlow, Kubernetes, Apache Spark, and IBM Watson to design, deploy, and scale AI systems effectively.
Career Growth & Data Science Pathways
Gain access to comprehensive career mentorship, placement assistance, and expert guidance to help you transition into high-demand roles like Data Scientist, MLOps Engineer, Machine Learning Engineer, or Cloud Data Engineer. Take advantage of networking opportunities and industry connections to secure impactful positions across global industries.
Program Fees
New Batches Starts Every 15th & 30th
₹ 99,000 (EMI available)
Note: 0% interest rates with no hidden cost
Programme Faculty
What's Unique About This Program?
Why is our Data Science and MLOps Professional Certificate course the top choice?
Features
Industry-Focused Curriculum
Placement mentorship program
Corporate Etiquette Sessions
Capstone projects
LMS Course kit
EC Council collaboration
Recorded Video
1:1 Personalized Mentorship
Placement Mock Interviews
Interdisciplinary expertise
Industry Expert sessions
WILA
Others
What’s Unique About This Program?
Why is our Data Science and MLOps Professional Certificate course the top choice?
Win in Life Academy’s Data Science and
MLOps Professional Certificate
Best Data Science and MLOps Professional Certificate course by experienced faculty and industry leaders in the form of pre-recorded videos, projects, assignments, and live interactive sessions.
Connect with our graduates
Have questions? Reach out to our alumni!
Find WILA alumni profiles and know more about their career path, specialisation, and more.
Program FAQs
Program Overview :
Who is eligible for the Advanced Data Science & MLOps Course with IBM Certification?
This program is open to fresh graduates, career switchers, and self-taught learners with no prior coding experience. Whether you’re exploring a professional data science course, a data science certification course, or transitioning into roles combining data science and MLOps, the curriculum is structured to support all learning levels.
What skills will I gain in this program?
Learners can develop their skills in data science, machine learning, and MLOps workflows. These globally recognized credentials strengthen your career prospects for roles in data science machine learning, model deployment and monitoring, and MLOps engineering.
What tools and technologies are covered in this Data Science & MLOps course?
The course covers industry-standard tools such as Python, MySQL, TensorFlow, PyTorch, Apache Spark, Docker, Kubernetes, Prometheus, Grafana, and IBM technologies like Watson Studio. These tools prepare you for real-world environments involving machine learning and MLOps, ML pipelines, and production-grade model deployment.
How is this course different from a standard Data Science and AI course?
While many programs teach only ML algorithms, this course uniquely integrates end-to-end MLOps training, focusing on deployment, automation, monitoring, and governance. You learn not only how to build models but also how to push them into production, aligning with the industry’s shift toward data science and MLOps combined roles.
Is the program available online, and how long does it take to complete?
Yes, it is offered in online, offline, and hybrid formats. This 6-month professional data science course includes 416 hours of structured training, live lectures, guided IBM labs, and a domain specialization track to help you build expertise in areas like FinTech, Healthcare, E-commerce, or Education.
PLACEMENT TRAINING FAQs
What hands-on experience will I get during the course?
You will complete 22 live industry projects, IBM-guided labs, and practical exercises in model deployment and monitoring. Each project simulates real workflows in data engineering, cloud automation, and MLOps pipelines, preparing you for production environments.
What kind of mentorship and academic support will I receive?
Learners receive one-on-one mentorship from data scientists, MLOps engineers, and cloud professionals. You also have access to peer collaboration groups, doubt-clearing sessions, coding support for Python and data science, and performance feedback throughout the program.
How does the placement training prepare me for high-demand roles?
Placement training includes technical mock interviews, ML/MLOps scenario assessments, resume optimization, portfolio development, and guidance for roles such as Machine Learning Engineer, MLOps Engineer, Cloud AI Engineer, and Data Scientist. You also learn how to present your machine learning pipelines and MLOps workflows to employers effectively.
What can I expect in terms of day-to-day learning once enrolled?
Expect a balanced mix of live classes, hands-on labs, coding challenges, project reviews, and tool-based workshops. You’ll work with advanced environments like Docker containers, Kubernetes clusters, Spark pipelines, and IBM’s cloud-based labs preparing you for real operational scenarios in AI and data science.
Will I get placement assistance after completing the Data Science & MLOps course?
Yes. The program includes 100% placement assistance, covering curated job openings, recruitment drives, continuous mentorship, and company-specific interview preparation. Since many companies now hire hybrid roles in data science and MLOps, you gain an additional advantage with your dual skill set and IBM certification.