Databricks Certified Machine Learning Professional
The Databricks Certified Machine Learning Professional training enables data professionals to master the full machine learning lifecycle, from data preparation to model optimization and deployment in advanced Big Data environments. Participants will learn to leverage Databricks, Apache Spark, and MLflow to build robust machine learning pipelines, manage complex models, and ensure optimal performance in distributed environments.
- Reference : 1529
- Duration : 3 Days
- Visitors : 100
What you will learn
- Master the syntax, data structures and paradigms of the studied language
- Design and develop functional end-to-end applications
- Apply coding best practices and SOLID or equivalent principles
- Use versioning, debugging and testing tools in your projects
- Integrate APIs, databases and external services into your developments
- Complete a full project demonstrating the skills acquired during training
About this course
Databricks Certified Machine Learning Professional — What you need to know
Total duration
Databricks Certified Machine Learning Professional
Modern organizations use machine learning and artificial intelligence to automate processes, improve decisions, and develop innovative data-driven services.
The Databricks platform, combining Apache Spark, MLflow, and distributed cloud computing, enables management of the entire machine learning lifecycle at scale.
The Databricks Certified Machine Learning Professional training provides participants with advanced skills to:
• Design and optimize complex ML pipelines
• Prepare and transform data for model training
• Develop advanced ML models with Spark MLlib and Python
• Manage experiments and model lifecycle using MLflow
• Deploy models in production environments
• Optimize model performance and scalability
• Ensure governance and security of ML models
Who is this course for?
Target profiles and expected levels
Developers looking to deepen their technical skills in a language or framework
Computer science students looking to complement their academic training with practice
Professionals transitioning to software development roles
Data scientists and analysts looking to automate their data processing
IT engineers looking to modernise their skills with the latest technologies
Anyone looking to develop a concrete application or IT project
Course Program
Advanced Fundamentals and ML Architecture
1 modules- 01Advanced Fundamentals and ML ArchitectureAdvanced machine learning and AI concepts • Databricks architecture for large-scale ML Managing Databricks environments and clusters for ML Advanced data preparation and feature engineering Using Spark MLlib for distributed model development Integrating ML workflows into data pipelines
Why Choose Our Course?
What sets us apart from other training centers
Project-oriented training with concrete exercises at each stage of learning
Expert trainers actively practising in the software development industry
Preconfigured development environment provided to get started immediately
Small groups enabling personalised follow-up and quality exchanges
Access to additional resources and an active community after training
Programme constantly updated to reflect current industry standards
Frequently Asked Questions (FAQ)
Everything you need to know before enrolling
Experience with Databricks, Spark, and advanced ML concepts is recommended.
Data Scientists, Machine Learning Engineers, and Data Engineers looking to deepen expertise in large-scale ML.
The training lasts 3 days, with intensive modules.
The program is delivered by Databricks-certified instructors and ML/MLOps specialists.
You will gain advanced skills in large-scale ML, Spark optimization, MLOps, and model deployment, highly valued in the data and AI job market.
