Instructor Led Course : AI, ML and Azure Databricks (40 Hours )

Instructor-Led Course: AI, ML, and Azure Databricks (40 Hours)

This 40-hour, instructor-led program is designed to provide professionals with practical, hands-on experience in Artificial Intelligence (AI), Machine Learning (ML), and Azure Databricks. The course blends theoretical foundations with real-world applications, equipping participants with the skills to design, develop, and deploy data-driven solutions on the cloud.

Course Highlights:

• Introduction to AI & ML

  • Core concepts, workflows, and real-world use cases

  • Understanding supervised, unsupervised, and reinforcement learning

• Azure Databricks Essentials

  • Navigating the Databricks workspace

  • Working with notebooks, clusters, and data pipelines

  • Integrating Databricks with Azure storage and services

• Data Engineering & Preparation

  • Ingesting, transforming, and managing large-scale data

  • Using Spark for distributed data processing

• Model Development & Deployment

  • Building ML models using Databricks MLlib and Azure ML integration

  • Hyperparameter tuning and performance optimization

  • Deploying models into production environments

• AI in Action

  • Case studies and industry-specific scenarios

  • Best practices for scalability, security, and cost optimization

Who Should Attend:

• Data Engineers, Data Scientists, and AI/ML Practitioners

• Software Developers and IT Professionals looking to upskill in cloud-based AI/ML solutions

• Business and Technology Leaders seeking to understand AI/ML applications in real-world projects

Learning Outcomes:

By the end of this course, participants will be able to:

• Design and build scalable ML pipelines using Azure Databricks

• Apply AI/ML algorithms to solve practical business challenges

• Optimize and deploy machine learning models in a cloud environment

• Confidently work within the Databricks ecosystem for AI-driven innovation

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