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Master the art of seamless MLOps pipeline design and implementation, empowering you to transform machine learning projects into scalable, efficient solutions. Unlock your potential in ML operations and elevate your career with hands-on skills for every level.
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Individuals interested in understanding the end-to-end process of deploying machine learning models in production environments, regardless of their prior experience in MLOps.
Data scientists and machine learning engineers looking to enhance their skills in operationalizing models and integrating them into existing systems.
Software developers and DevOps professionals seeking to broaden their expertise by learning how to manage machine learning workflows and collaborate effectively with data teams.
Business analysts and project managers aiming to gain insights into the MLOps lifecycle to better facilitate discussions and project planning related to machine learning initiatives.
Everything you need to know before getting started
No prior experience in machine learning or DevOps is required; the course will introduce all necessary concepts and terminologies from the basics.
Learners will not need any specific programming skills, as the course will cover relevant programming languages and tools step-by-step.
A foundational understanding of software development is not necessary; the course will start with core principles of software engineering and project management.
No familiarity with cloud platforms or deployment strategies is needed, as the course will guide students through various platforms and their functionalities for MLOps.
The "MLOps Pipeline Design and Implementation" course offers a comprehensive exploration of the entire lifecycle of deploying machine learning models in production environments. Designed for participants of all levels, this course caters to data scientists, machine learning engineers, software developers, DevOps professionals, business analysts, and project managers, equipping them with the essential skills to operationalize models effectively. Through a blend of theoretical insights and practical applications, learners will gain a deep understanding of MLOps principles, enabling them to manage workflows, integrate solutions seamlessly, and enhance collaboration between data teams and stakeholders. Join us to unlock the potential of machine learning in your organization and drive impactful decision-making through effective deployment strategies.
India Standard Time (IST)
Duration
2 Months
Total Hours
0 hours
Schedule will be arranged based on your availability and preferences.
Get unlimited access to all course content, video lectures, downloadable resources, practice exercises, and future updates for a full 2 years.
Join our vibrant learning community where you can ask questions, share insights, connect with like-minded peers, and get support throughout your educational journey.
Participate in weekly live sessions with expert instructors. Ask questions in real-time, get immediate clarification, and engage with fellow students in an interactive environment.
Apply your knowledge with carefully crafted assignments that mirror real-world scenarios. Get personalized feedback from instructors to improve your skills.
Regular assessments to track your progress and identify areas for improvement. Instant feedback helps you understand concepts better and reinforces learning.
Earn a professional certificate upon successful completion of the course. Our certificates are recognized by industry leaders and can boost your career prospects.
Yes! LCMGO offers a first-2-class money-back guarantee. If a student finds the class not engaging or not meeting expectations, they can request a refund before attending the third class. No questions asked.
AI-generated summaries after each live class together with quizzes aligned to the instructor’s material — an adaptive learning path that evolves with you. Perfect for quick revision, targeted practice, and retaining key concepts.
I am a data scientist and AI trainer with over 9 years of professional experience across technology, training, and analytics. I hold an MTech in Data Science from BITS Pilani and have worked with organizations such as Shoogloo Services, Wiinovation Summer Trainings, and Teleperformance as a Quality Analyst. As the Program Head of Aananayaa Foundation, I lead initiatives to make data science and generative AI education accessible to students from diverse backgrounds. I specialize in teaching Python, machine learning, and AI applications through hands-on projects, ensuring learners gain both theoretical understanding and practical industry skills.
Career Highlights
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