ChatGPT For Data Exploration: May 20 & 21-2024
2-Half Days (9:00 a.m to 12:00 p.m PST) | ENDING IN :
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Do’s And Don’ts Of Generative AI
The “Mastering Generative AI: Do’s and Don’ts” course is a comprehensive and concise short course designed to equip participants with the essential knowledge and practical insights into the dos and don’ts of training generative AI models.
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Artificial Intelligence – Bootcamp
Join us for a transformative 12.5-weeks AI Bootcamp designed to equip you with the knowledge, skills, and practical experience necessary to harness the full potential of Artificial Intelligence (AI).
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Women in Data bootcamp program
The Women in Data Bootcamp is a comprehensive 12.5-week program designed to empower and equip women with the skills, knowledge, and confidence to excel in the field of data analysis.
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Advanced ChatGPT & Generative AI Concepts
This course is for professionals seeking an in-depth understanding of Chat GPT and its applications.
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Practical NLP
This Practical NLP (Natural Language Processing) course is intended for software engineers and data scientists who are interested in incorporating NLP into their production systems.
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Introduction to Jenkins and CI/CD
The Introduction to Jenkins and CI/CD training course explores how to effectively configure and use Jenkins to increase code quality through continuous builds, code coverage and quality tools, and testing suites.
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Generative AI for Data Scientists
Creative and innovative thinking is important to find unique solutions to the This course focuses on leveraging ChatGPT to make the whole data science workflow easier and faster.
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Advanced Apache Airflow
The Apache Airflow Next Steps course is intended for either of two audiences: 1) data engineers that already work with Apache Airflow on a daily basis and want to understand the new changes that Airflow 2 brings; or 2) data engineers that have taken the Apache Airflow Fundamentals course and want to expand their knowledge of the advanced topics of Apache Airflow.
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Apache Airflow Fundamentals
Enhance your Apache Airflow proficiency through our ‘Advanced Apache Airflow’ course. Designed for experienced data engineers, this program covers Airflow 2 updates and dives into advanced topics, including connections, DAG creation, security, Kubernetes, and scaling. This hands-on course (70%) combines practical exercises with informative lectures, demos, and discussions (30%). It’s conducted using Python versions exceeding 3.5 and Airflow versions surpassing 2.1. Join us to take your Airflow skills to the next level and excel in data engineering and workflow orchestration.”
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Apache Airflow For Machine Learning Operations
The Apache Airflow for Machine Learning Operations course is intended for machine learning engineers interested in leveraging Apache Airflow to generate training, validation, and test sets in a reproducible manner.