Machine Learning (ML) is shaping the way the world operates — from driving autonomous cars to optimizing recommendation engines, ML-based systems are at the core of modern innovation. To help professionals and aspiring engineers harness this technology, DevOpsSchool offers a comprehensive Master in Machine Learning Course. This certification program is strategically designed for those who wish to master the theoretical foundations and real-world applications of Machine Learning, guided by one of the industry’s most respected mentors — Rajesh Kumar.
Why Choose DevOpsSchool for Machine Learning Training?
DevOpsSchool has established itself as a leader in professional online training and certification programs across Computing, DevOps, Cloud, and Artificial Intelligence domains. With a decade of success and a team of global experts, it stands apart as a trusted platform offering lifetime technical support, flexible learning access, and globally recognized certificates.
Key highlights that make this program exceptional:
- 48 hours of live instructor-led training
- Handpicked industry-level real-time projects
- Interview Preparation Kits curated by experts with 200+ combined years of industry experience
- Lifetime access to Learning Management System (LMS) resources
- Dedicated placement assistance and resume guidance
About the Master in Machine Learning Course
The Master in Machine Learning Course by DevOpsSchool provides deep, hands-on learning experiences. The program helps participants gain mastery in the core fundamentals of Python, Statistics, and Data Science Essentials before moving toward complex Machine Learning algorithms.
Machine Learning topics covered include supervised learning, unsupervised learning, regression, classification, and real-time data modeling. Trainees also work on practical assignments that simulate real-world production environments, bridging theoretical concepts with execution-level understanding.
Course Summary
| Duration | Mode | Certification | Projects | Support |
|---|---|---|---|---|
| 48 hours | Online (Instructor-led) | Industry-recognized by DevOpsSchool Certification | 5 real-world projects | Lifetime LMS and Technical Support |
Skills You Will Master
Participants gain multi-dimensional expertise with hands-on training in:
- Python for Machine Learning
- Data preprocessing and visualization
- Core ML algorithms (Supervised & Unsupervised)
- Regression and Classification models
- Time Series Forecasting
- Model optimization and tuning
- Real-time ML project deployment workflows
By the end of the course, learners develop the confidence to design, build, deploy, and monitor ML applications using industry-standard frameworks.
Comparison: DevOpsSchool vs Other ML Providers
| Feature | DevOpsSchool | Others |
|---|---|---|
| Faculty | Experienced SMEs with 8–12 years ML experience | Often generic instructors |
| Support | Lifetime LMS + technical support | Limited duration |
| Projects | 5 real-time case studies | Often simulated tasks |
| Placement | Global placement tie-ups with MNCs | Limited or no placement help |
| Certification | Recognized by DevOpsCertification.co | Various non-standard bodies |
Who Should Enroll?
This course is designed for a wide audience of learners, including:
- Analytics Managers and Data Engineers
- Information Architects and Software Developers
- College Graduates pursuing a Data Science career
- Professionals aiming to transition to Artificial Intelligence roles
A basic understanding of Python and college-level mathematics is recommended. However, even beginners can comfortably follow the guided approach used in the program.
Learn Under the Expert Mentorship of Rajesh Kumar
One of the most compelling advantages of DevOpsSchool’s training ecosystem is its mentorship by Rajesh Kumar — a globally renowned DevOps and AI specialist with more than 20 years of experience. He has trained thousands of learners across MLOps, AIOps, and Cloud technologies. Under his guidance, participants not only grasp complex ML concepts but also learn how to apply them efficiently within enterprise ecosystems.
Hands-On Projects and Career Growth
The program integrates 5 real-time, scenario-based Machine Learning projects that replicate real industrial challenges. Participants will experience the lifecycle of ML project development — from planning and coding to deployment and monitoring. This level of experiential learning ensures candidates are job-ready by the time they complete the program.
DevOpsSchool’s career support services include personalized mentorship, resume preparation, and global industry connections to help learners land roles such as:
- Machine Learning Engineer
- Data Scientist
- AI Engineer
- Research Analyst
Why the World Needs More Machine Learning Professionals
The Machine Learning industry is expanding rapidly with a 44% annual growth rate, projected to reach nearly $8.81 billion in market value. The demand for skilled ML engineers is growing at over 60%, driven by AI adoption across sectors including finance, retail, healthcare, and logistics.
By enrolling in DevOpsSchool’s Machine Learning program, learners align themselves with this trend, ensuring long-term career sustainability and global employability.
Student Testimonials
Here are some genuine learner experiences from professionals across India:
- Abhinav Gupta, Pune (5.0/5): “The training was extremely useful and interactive. Rajesh made complex topics easy to understand.”
- Sumit Kulkarni, Software Engineer (5.0/5): “Well-organized sessions and great coverage of practical use cases.”
- Indrayani, India (5.0/5): “Rajesh is an excellent trainer. The hands-on sessions made the course worth every moment.”
- Vinayakumar, Bangalore (5.0/5): “Excellent real-time projects and helpful post-training support.”
Advantages of Lifetime Learning Support
DevOpsSchool ensures no learner is left behind. Participants enjoy 24/7 access to class recordings, presentations, and tutorials through the LMS. Missed a session? Learners can rejoin upcoming batches within three months or revisit recordings anytime—forever.
This self-paced and continuous support system helps learners keep up with new ML trends, tools, and projects even after completing certification.
Enroll in the Course Today
Becoming a Machine Learning Engineer is not just about learning theory — it’s about mastering the art of practical implementation, and that’s exactly what DevOpsSchool offers. With lifelong mentoring, world-class resources, and globally accredited certification, this program is your chance to accelerate your ML career journey.
Register now for the Master in Machine Learning Course
For more details, connect with the DevOpsSchool team at:
- Email: contact@DevOpsSchool.com
- India: +91 7004215841
- USA: +1 (469) 756-6329