Achieve Team Goals with World-Class IT Training & Certifications

This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models.

Machine Learning Engineering on AWS (AWS-MLMLEA) is a three-day intermediate course that teaches you how to design, build, train, and deploy production-ready machine learning solutions using AWS services like Amazon SageMaker.

No tech experience needed! Learn how to write great prompts to have AI automate your tasks, boost your creativity and increase your productivity!

Gain practical skills and actionable insights to implement AI initiatives that drive meaningful improvements across various organizational functions.

Harness the power of Generative AI to identify use cases, manage AI projects, solve business problems and secure AI systems effectively

Explore AI & Machine Learning Basics, How they Apply in Today's Business Enterprise, New Tools, Trends & More

Learn to apply AI in everyday testing to improve coverage, reduce maintenance, and make testing faster and more reliable.

Master the core skills to configure, manage, and optimize Jira for agile project success.
 

Explore Core Skills, Unsupervised vs Supervised Learning, Data Wrangling, Neural Networks, Generative AI, GPT & More

Learn how to create interactive React apps using components, state, routing, forms, and essential testing practices.

Learn How to Install, Configure and Maintain an Enterprise Linux System in a Networked Environment
 

Explore Big Data Tools, Skills and How to Leverage Data Science to Drive Innovation and Make impactful Business Decisions