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Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810)

4.6 out of 5 rating Last updated 21/11/2024   English

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Global Schedule

GTR = Guaranteed to Run

27 Jan 25 Book
15:00 - 23:00 Live Online 2,541
24 Mar 25 Book
14:00 - 22:00 Live Online 2,541

19 May 25 Book
15:00 - 23:00 Live Online 2,541
14 Jul 25 Book
15:00 - 23:00 Live Online 2,541
08 Sep 25 Book
15:00 - 23:00 Live Online 2,541
27 Oct 25 Book
14:00 - 22:00 Live Online 2,541
08 Dec 25 Book
15:00 - 23:00 Live Online 2,541
Duration

3 Days

18 CPD hours

Overview

Throughout the course you'll learn how to:
-Gain a solid understanding of the Machine Learning Operations (MLOps) lifecycle, including its purpose, key elements, and how it differs from related fields like DevOps and DataOps.
-Develop practical skills in using key MLOps tools and techniques, such as setting up an MLOps environment using MLflow and Kubeflow, and working through a basic machine learning pipeline.
-Master the art of automating machine learning workflows to streamline and improve the efficiency of your machine learning projects.
-Familiarize yourself with the AI Security landscape, including threat identification and application of best practices for securing machine learning environments.
-Dive deep into advanced AI Security concepts, including understanding and implementing differential privacy in machine learning models and defending against adversarial attacks.
-Learn to balance technical implementation with ethical considerations, developing a well-rounded approach to AI Security that respects privacy concerns and adheres to ethical guidelines.

Description

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. 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.

Prerequisites

Familiarity with basic machine learning concepts such as supervised and unsupervised learning, regression, classification, and neural networks will be beneficial.
-Experience with data preprocessing, feature engineering, and understanding of algorithms and data structures would be advantageous.
-Ideally, attendees should have practical experience with a programming language, preferably Python, given its prominence in machine learning and AI development. Those without programming background can follow along with the labs.
-Basic knowledge of cloud platforms like AWS, GCP, or Azure will be useful, especially regarding how they support machine learning operations and AI security.
-Prerequisites (courses)]]A general understanding of the software development process or lifecycle (SDLC), including stages like design, development, testing, and deployment, will be helpful as MLOps is a similar, but more specific, lifecycle.

Day 1: Introduction to Machine Learning Operations (MLOps)

Introduction to MLOps
Understanding the need for MLOps
Differences between MLOps, DevOps, and DataOps
MLOps lifecycle overview
MLOps Tools and Techniques
Overview of MLOps tools (MLflow, Kubeflow, etc.)
MLOps pipeline components
MLOps best practices
Hands-on Lab: Setting Up an MLOps Environment using MLflow
Walking through a simple machine learning pipeline
Automating Machine Learning Workflows
The role of automation in MLOps
Continuous Integration and Continuous Deployment (CI/CD) in machine learning
Hands-on Lab: Automating ML workflows
Day 2: Advanced MLOps and Beginning AI Security

Model Monitoring and Management
Understanding model decay
Monitoring model performance in production
Model versioning and rollback
Hands-on Lab: Model Management
Implementing model monitoring with MLflow
Experimenting with model versioning and rollback
Introduction to AI Security
Understanding the need for AI Security
Overview of AI threat landscape
AI Security best practices
Hands-on Lab: Implementing basic security measures in a machine learning environment
Day 3: Advanced AI Security

AI Privacy and Ethical Considerations (2 hours)
Privacy risks in AI/ML applications
Understanding differential privacy
Ethical considerations in AI Security
Hands-on Lab: Implementing differential privacy in a machine learning model
AI Adversarial Attacks and Defenses
Understanding adversarial attacks
Techniques to defend against adversarial attacks
Hands-on Lab: Defending Against Adversarial Attacks
Implementing defense measures against sample adversarial attacks
Course Wrap-Up and Q&A
Additional course details:

Nexus Humans Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) Course

Available Delivery Options for the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training provide?

The 3 day. Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

Which exam does the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training course prepare you for?

The Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) prepares you for the Yes official exam. You can take this exam at any exam center across UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.

What is the correct audience for the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training?

The intermediate and beyond 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.

Do you provide training for the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810).

Yes we provide corporate training, dedicated training and closed classes for the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) program.

The Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

What other terms do people search for when looking for this course?

Popular related searched include AI; Machine Learning; MLOPs; DevOps, Security.

Why are Nexus Human the best provider for the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for UK on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training.

Yes, the discount code PENPAL5 is currently available for the Mastering Machine Learning Operations (MLOps) and AI Security Boot Camp (TTAI2810) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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