Dive into the rapidly evolving world of Machine Learning Operations (MLOps) and AI Security with our intensive 3-day boot camp. MLOps bridges the gap between data science and operation teams, delivering continuous collaboration and integration to drive the efficient production of AI models.
DurationDive into the rapidly evolving world of Machine Learning Operations (MLOps) and AI Security with our intensive 3-day boot camp. MLOps bridges the gap between data science and operation teams, delivering continuous collaboration and integration to drive the efficient production of AI models.
Similarly, AI Security focuses on protecting AI systems from potential vulnerabilities, a critical skillset given the increasing reliance on AI in modern infrastructures. By mastering these skills, you'll be able to streamline machine learning projects and bolster security within your organization.
Working in a hands-on workshop style environment guided by our AI security expert, you’ll explore a wide range of topics and hands-on labs designed to provide a robust understanding of both MLOps and AI Security.
Starting from an introduction to MLOps, you'll uncover the importance of this discipline, its distinction from DevOps and DataOps, and its lifecycle. You'll explore MLOps tools and techniques, including MLflow and Kubeflow, along with pipeline components and best practices.
You will be able to set up an MLOps environment, automate ML workflows, monitor and manage models, and implement vital security measures in real-world situations.
Lastly, you'll dive into the world of AI Security, exploring the AI threat landscape and best practices while applying basic security measures in a lab environment. The boot camp wraps up with advanced topics in AI Security, covering AI privacy, ethical considerations, adversarial attacks, and defenses.
Upon completion, you will have gained practical, hands-on skills in operationalizing and securing machine learning workflows, implementing best practices in model management, and understanding ethical considerations in AI Security.
Our boot camp ensures that you will have the necessary knowledge to navigate MLOps and AI Security effectively, making your machine learning projects more efficient and secure.
Who Should Attend?
This intermediate to advanced level course is a great fit for technical professionals eager to deepen their knowledge in machine learning and AI security. Roles such as Data Scientists, Machine Learning Engineers, IT Security Professionals, and DataOps Engineers would find significant value in this intensive, hands-on learning experience.
This course is also suitable for technical leads and managers who oversee machine learning projects and need to understand both the operational and security aspects of AI systems.
Global Knowledge is a worldwide leader in IT and technology training, helping individuals and organizations build the skills they need to succeed in an ever-changing world.
With an international network of offices and training facilities, Global Knowledge has the unique flexibility to deliver a broad portfolio of courses on over 100 countries online, in classrooms, and through a worldwide partner network.
Established in 1995, Global Knowledge has over 1000 employees worldwide and enables the success of more than 200,000 tech professionals each year.
In June 2021, Global Knowledge merged with Skillsoft to create the world’s leading corporate learning company.
Global Knowledge Delivers What Technology And Business Process Can’t—skills.
Whether you realize it or not, skills are the key limiter to your success. Technology and process are crucial for accomplishing organizational objectives, but they’ve been democratized by the digital revolution.
The larger issue are the skill gaps hijacking your technology return on investments. As a result, organizations who are successfully using technology to accelerate success are also successfully transforming the capabilities of their people to maximize investments.
A Foundation In The Technology Community
Our contribution within the global technology community is more than just IT training. Technology’s expanding reach is making every level of staff some sort of technology professional.
The hyper-focused, specialty roles aren’t going anywhere—they’re more necessary than ever—but we also must account for the T-shaped skills. Thus, we train beyond the traditional IT topics and train more people than corporate IT.
We exist to address the total skills profile of technology professionals.
Whether you’re managing mission critical technology initiatives, developing your technical talent pipeline or taking IT products and services to market, our innovative and flexible learning solutions equip you for success.
Why Global Knowledge? Impact.
Sustainable, scalable, repeatable IMPACT—with minimal disruption. That’s why for over 20 years organizations large and small, technology providers, enterprises, and governments around the world come to us.
By providing access to subject matter experts, delivering authorized and industry-leading instruction through multiple delivery formats, we set the stage for your success by reducing skill gaps.
You’ll also see impacts in onboarding and employee retention through improved skills and higher job satisfaction.
This is all driven by the level of quality we set for ourselves. We believe in consistency and maintain rigorous in-house standards, so you receive an exceptional training experience anywhere in the world.
Only a dedicated learning organization specializing in more than one or two topics can deliver this level of impact—and we’re ready to provide it to you.
The Machine Learning Pipeline on AWS course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment.
[AI INTRO] is a math heavy course offered at KTBYTE, and require students to have mastered self-guided learning.
Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones.
This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R.
This course provides an introduction to machine learning, the study of systems that improve automatically based on data and past experience
About Coursetakers.com
Coursetakers.com is more than a decade old course aggregator and Online course platform that helps students find courses and compare course prices from Training providers in the USA, by just submitting their inquiry through the website. Coursetakers also helps Institutes, Universities and Online Instructors market their courses, gain leads and get more students to enroll into their courses.
© 2024 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy
Online
USA
UK
India
UAE
South Africa
Canada
New Zealand
Australia
Malaysia
Singapore