-
Women in Data bootcamp program
Duration: 12.5-Weeks Code: BDT284 Category: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.
-
Advanced ChatGPT & Generative AI Concepts
Duration: Half Day Code: BDT297 Category:This course is for professionals seeking an in-depth understanding of Chat GPT and its applications.
-
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.
-
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.
-
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.
-
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.
-
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.”
-
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.
-
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.
-
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.