Snowflake for AI/ML / Generative AI with Cortex

Module 1: Introduction to Snowflake AI/ML and Cortex

• Overview of AI/ML capabilities on Snowflake
• Introduction to Cortex platform and integration

Module 2: Setting Up AI/ML Environment

• Snowflake workspace configuration
• Data preparation and feature engineering

Module 3: Machine Learning Model Development

• Building models using built-in and external tools
• Supervised and unsupervised learning techniques

Module 4: Generative AI with Cortex

• Understanding generative AI concepts
• Designing generative AI workflows on Cortex

Module 5: Deploying and Managing Models

• Model deployment pipelines
• Monitoring model performance and retraining

Module 6: Integration with Python and ML Libraries

• Using Snowpark and Python with TensorFlow, PyTorch

Module 7: Automation and Orchestration

• Automating AI workflows using Cortex orchestration

Module 8: Model Governance and Compliance

• Tracking model lineage and ensuring compliance

Module 9: Real-world Use Cases and Labs

• Implementing AI/ML for customer insights, forecasting, and automation

Module 10: Certification Preparation

• Exam tips and practice questions

Experience in the Industry Gain knowledge from experts with practical Snowflake for AI/ML / Generative AI with Cortex project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture  and cognizant  employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.