Databricks Certified Machine Learning Associate
The Databricks Certified Machine Learning Associate training enables data professionals to acquire the skills needed to design, train, evaluate, and deploy machine learning models using Databricks. Participants will learn to use Apache Spark, MLflow, and Databricks ML tools to build efficient machine learning pipelines and manage the full lifecycle of models in modern data engineering environments.
- Reference : 1527
- Duration : 3 Days
- Visitors : 99
What you will learn
- Understand common cybersecurity threats, attacks and vulnerabilities
- Implement security controls adapted to the organisation's risks
- Apply incident management and crisis response principles
- Assess the security posture of an information system and produce recommendations
- Master the tools and techniques used by security professionals
- Pass the official certification exam in the cybersecurity domain
About this course
Databricks Certified Machine Learning Associate — What you need to know
Total duration
Databricks Certified Machine Learning Associate
Organizations increasingly rely on machine learning and artificial intelligence to improve decision-making, automate processes, and create data-driven services.
The Databricks platform provides a unified environment for large-scale machine learning, combining Apache Spark, MLflow, and distributed cloud computing capabilities.
The Databricks Certified Machine Learning Associate training equips participants with fundamental skills to design machine learning models, manage experiments, and deploy models in production environments.
During this training, participants will learn to:
• Understand fundamental concepts of machine learning and artificial intelligence
• Prepare and manipulate data for model training
• Develop machine learning models using Python and Apache Spark
• Use MLflow for experiment tracking and model management
• Implement machine learning pipelines
• Evaluate and improve model performance
• Deploy and monitor models in production environments
Who is this course for?
Target profiles and expected levels
IT professionals looking to specialise in cybersecurity
Security auditors and IT risk consultants
Chief Information Security Officers (CISOes)
Developers looking to integrate security best practices into their code
Managers and decision-makers involved in their organisation's security policy
Anyone preparing for a recognised cybersecurity certification
Course Program
Machine Learning Fundamentals with Databricks
1 modules- 01Machine Learning Fundamentals with DatabricksIntroduction to machine learning and AI concepts Overview of the Databricks platform for ML Data exploration and preparation for ML models Using Python and Spark for data manipulation • Feature engineering and data transformation techniques Building and training simple machine learning models
Why Choose Our Course?
What sets us apart from other training centers
Training aligned with the latest cybersecurity frameworks and standards
Practical workshops including realistic attack and defence scenarios
Expert trainers in offensive and defensive security with field experience
Intensive certification exam preparation with mock exams included
Virtual lab environment to practise safely in a controlled context
Certification valued by employers in both public and private sectors
Frequently Asked Questions (FAQ)
Everything you need to know before enrolling
Basic knowledge of Python, data manipulation, and ML concepts is recommended.
Professionals looking to develop skills in machine learning using Databricks.
The training lasts 3 days, divided into intensive modules.
The program is delivered by Databricks-certified instructors and machine learning experts.
You will gain skills in developing, deploying, and managing ML models, highly valued in data science and AI roles.
