No prior experience required.
Open to beginners and professionals interested in learning about machine learning and data science.
Basic computer literacy and a strong interest in the field are recommended.
Comprehensive Curriculum : Covers Machine Learning, Data Science fundamentals, and DevOps integration.
Hands-on Learning : Build, train, and deploy machine learning models and Real-world projects on predictive analytics, automation, and deployment pipelines.
Earn a globally recognized certification to boost your career in AI/ML and DevOps.
Hands-on experience with AWS, Azure, or Google Cloud Platform for deploying scalable machine learning models.
Explore data preparation, feature engineering, hyperparameter tuning, and automation of workflows.
Live sessions with industry professionals for guidance on complex concepts and career advice
Option to integrate program completion with certifications like AWS Certified Machine Learning, Azure Data Scientist Associate, or Docker Certified Associate.
Module 1: Data science professional – Level 1
Module 2: Data science professional – Level 2
Module 3: Data science professional – Level 3
Module 4: Machine learning
Once you Enroll for this Program, You will get Access Pass for 120 Days. Get start with free demo class to experience our quality.
Program Instructor
Dinesh R M , MBA, PMP.
Microsoft Certified Instructor
The Instructor Posses expertise in data science, project management, and digital transformation.
He holds key certifications in Power BI Data Analysis, PMP, IBM Design Thinking, and AI.
He has substantial experience in data analytics, data warehousing, risk analytics, and Project management.
Having worked with organizations like Qatar Airways and Microsoft. His skills include statistical analysis, machine learning, and AI.
Supported by a B.Tech in Chemical Engineering and an MBA specializing in Finance and Statistics.
Passionate About : Agriculture & Rain Forest Development.
Who is this course for?
What tools and technologies will I learn?
Will I receive a certificate upon completion?
Can I take the course without prior DevOps experience?
Do I need to have prior knowledge of cloud platforms?
Will this course help me get a job?
Can I enroll if I’m new to both Machine Learning and DevOps?
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