Instructor Led Course : AI Data Science Using Databricks (40 Hours)
This 40-hour, instructor-led program is designed to equip participants with the practical knowledge and skills required to harness the power of Databricks for AI and Data Science workflows. Through a blend of theory, hands-on labs, and real-world projects, learners will …
Overview
This 40-hour, instructor-led program is designed to equip participants with the practical knowledge and skills required to harness the power of Databricks for AI and Data Science workflows. Through a blend of theory, hands-on labs, and real-world projects, learners will explore how Databricks simplifies big data processing, machine learning, and advanced analytics in a collaborative environment.
Course Objectives
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Gain a strong foundation in Databricks architecture and workspace setup.
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Learn how to work with Apache Spark on Databricks for large-scale data processing.
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Perform data engineering, cleansing, and transformation using notebooks.
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Apply machine learning and deep learning techniques with MLflow and Databricks ML.
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Explore AI-driven analytics and visualization using Databricks SQL and integrations.
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Understand real-world use cases of AI and Data Science in business and enterprise.
Key Topics Covered
Curriculum
Curriculum
- 9 Sections
- 30 Lessons
- Lifetime
- Module 1 :Introduction to AI & ML8
- 1.1What is AI, ML, and Data Science?
- 1.2AI , ML , Data Science Relationship
- 1.3Supervised vs. Unsupervised Learning
- 1.4Semi-Supervised Learning and Reinforcement Learning
- 1.5ML Workflow & Real-world Applications
- 1.6Databricks in the ML Workflow
- 1.7Assignment : AI Data Science Using Databricks (40 Hours) -Module 13 Days
- 1.8AI Data Science Using Databricks – Module 115 Minutes5 Questions
- Module 2 :Python for Machine Learning6
- Module 3 :Regression & Classification6
- 3.1Linear Regression & Polynomial Regression
- 3.2Logistic Regression & Classification Metrics
- 3.3Decision Trees & Random Forest
- 3.4Model Evaluation (Bias-Variance, Cross-validation, Hyperparameter Tuning)
- 3.5Assignment :AI Data Science Using Databricks (40 Hours)-Module 33 Days
- 3.6Quiz:AI Data Science Using Databricks (40 Hours)-Module 35 Questions
- Module 4:Clustering & Dimensionality Reduction4
- Module 5:Model Deployment & MLOps Basics4
- Module 6 : Deep Learning EssentialsDeep Learning Essentials3
- Module 7 ::Generative AI Basics3
- Module 8 :Databricks for Machine Learning2
- Module 9:Certification Prep & Capstone0
Instructor
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Course Features
- Lectures 30
- Quizzes 4
- Duration Lifetime access
- Skill level All levels
- Language English
- Students 8
- Certificate No
- Assessments Yes