Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
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Practical NLP
Duration: 3 Days Code: BDT296 Category: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
Duration: 2 Days Code: BDT295 Category: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
Duration: 2 Days Code: BDT294 Category: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
Duration: 2 Days Code: BDT293 Category: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
Duration: 3 Days Code: BDT292 Category: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
Duration: 3 Days Code: BDT291 Category: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.
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Mulesoft Fundamentals
Duration: 3 Days Code: BDT290 Category:Software integration is the most significant unresolved billion-dollar market in the world. The Anypoint Platform, empowered by the Mulesoft runtime, can easily create, develop, deploy, and monitor integrations.
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Kickstart Using GPT-4, DALL-E, Whisper With Python
Duration: 1 Day Code: BDT281 Category:Building AI models to generate text, images and translating or transcribing audio is a daunting task for any organization.
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Salesforce Fundamentals: Beginner Level
Duration: 1 Day Code: BDT283 Category:In this 10-week immersive Autonomous Coding in C++ Bootcamp, students will learn about programming in C++ and learn how to test their C++ code.
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Working With Splunk: Beginner To Intermediate
Duration: 1 Day Code: BDT282 Category:In this 10-week immersive Autonomous Coding in C++ Bootcamp, students will learn about programming in C++ and learn how to test their C++ code.