2. AI267 | EX267 | Red Hat Certified Specialist in OpenShift AI

AI267 | EX267 | Red Hat Certified Specialist in OpenShift AI Course Training Institute & Certification Exam Center

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Introduction to Developing and Deploying AI/ML Applications on Red Hat OpenShift AI

The course "Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)" equips students with essential skills for using Red Hat OpenShift to create and deploy AI/ML applications. Through this course, students gain hands-on experience in training, developing, and deploying machine learning models using Red Hat OpenShift AI.

This training is structured around Red Hat OpenShift 4.14 and Red Hat OpenShift AI 2.8, providing up-to-date and practical knowledge for managing AI/ML workloads on the platform.
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OpenShift AI/ML Course Training Key Features

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Course Duration : 2 Months

Real Time Projects : 2

Hands-on Training

Full Day Lab Access

Certification & Job Assistance

Post Training Support

AI267 | EX267 | Red Hat Certified Specialist in OpenShift AI Training Classes Calender

Start Date Training Mode Enroll Status
Sep 16, 2024
10:00 - 13:00 (IST) 		Classroom/Online
Weekdays/Weekend 		Enrollment Open
Sep 24, 2024
13:00 - 16:00 (IST) 		Classroom/Online
Weekdays/Weekend 		Enrollment Open
Sep 06, 2024
14:00 - 17:00 (IST) 		Classroom/Online
Weekdays/Weekend 		Enrollment Close
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Classroom / Online OpenShift AI/ML Course Training Overview

Course Content Overview

  • Introduction to Red Hat OpenShift AI
  • Data Science Projects
  • Jupyter Notebooks
  • Installing Red Hat OpenShift AI
  • Managing Users and Resources
  • Custom Notebook Images
  • Introduction to Machine Learning
  • Training Models
  • Enhancing Model Training with RHOAI
  • Introduction to Model Serving
  • Model Serving in Red Hat OpenShift AI
  • Introduction to Workflow Automation
  • Elyra Pipelines
  • Kubeflow Pipelines

Intended Audience

  • Data Scientists and AI Practitioners: Ideal for professionals seeking to utilize Red Hat OpenShift AI for building and training machine learning models.
  • Developers: Suitable for those aiming to develop and integrate AI/ML-enabled applications.
  • MLOps Engineers: Perfect for individuals responsible for installing, configuring, deploying, and monitoring AI/ML applications on Red Hat OpenShift AI.

Prerequisites and Recommended Training

  • Experience with Git: Essential for course participants.
  • Python Development Skills: Required, or completion of the "Python Programming with Red Hat (AD141)" course.
  • Experience with Red Hat OpenShift: Necessary, or completion of the "Red Hat OpenShift Developer II: Building and Deploying Cloud-native Applications (DO288)" course.
  • Basic Knowledge in AI, Data Science, and Machine Learning: Recommended to enhance understanding and effectiveness in the course.

Course Syllabus

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Preface A: Introduction
Section A.1: Developing and Deploying AI/ML Applications on Red Hat OpenShift AI
Section A.2: Orientation to the Classroom Environment
Section A.3: Performing Lab Exercises
Chapter 1: Introduction to Red Hat OpenShift AI

Chapter 2: Data Science Projects

Chapter 3: Jupyter Notebooks

Chapter 4: Installing Red Hat OpenShift AI

Chapter 5: Manage Users and Resources

Chapter 6: Custom Notebook Images

Chapter 7: Introduction to Machine Learning

Chapter 8: Training Models

Chapter 9: Enhancing Model Training with RHOAI

Chapter 10: Introduction to Model Serving

Chapter 11: Model Serving in Red Hat OpenShift AI

Chapter 12: Introduction to Data Science Pipelines

Chapter 13: Elyra Pipelines

Chapter 14: Kubeflow Pipelines
Note: **The topics said above are only the short blueprint of the syllabus. On the off chance that you feel that we have missed any subject, you can simply come to us and learn it, or simply call us to affirm

Call at 8485847920 | 8485846227 WebAsha Provides Best Online [Live Interactive Class] / Calssroom with practical based hands-on OpenShift AI/ML Training and Certification in Pune and near by area. Get Course Details, Certification Cost, Fees, Syllabus, Duration, Batch Timings, Exam Preparation, workshops in Pune, Mumbai, Delhi NCR, Noida, Gurugram (Gurgaon), Hyderabad, Bengaluru (Bangalore), India, UK, USA, UAE, Dubai, Singapore, and Australia

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OpenShift AI/ML Classroom Training

  • Interactive Learning: Participate in face-to-face sessions with experienced instructors, facilitating real-time interaction and immediate feedback.
  • Hands-On Experience: Engage in practical exercises and lab sessions to enhance your hands-on skills.
  • Collaborative Environment: Benefit from the collaborative environment where you can network and work with peers.
  • State-of-the-Art Facilities: Access to advanced training facilities and resources.

Online OpenShift AI/ML Training

  • Flexible Schedule: Learn at your own pace from the comfort of your home or office, fitting the course around your personal and professional commitments.
  • Live Sessions: Attend live, instructor-led sessions that provide the same quality of training as in the classroom.
  • Accessibility: Access training materials and resources anytime, anywhere with a stable internet connection.

OpenShift AI/ML Corporate Training

  • Customized Content: : Tailored training programs designed to meet your organization’s specific needs and goals.
  • On-Site Training:: Instructors can come to your business location, providing training in a familiar and convenient setting.
  • Skill Enhancement:: Equip your team with the latest skills and knowledge to stay competitive in the industry.
  • Team Building:: Foster a collaborative learning environment that promotes team building and knowledge sharing among employees.
  • Flexible Delivery: : Options for both classroom and online training to suit your company’s schedule and preferences.

OpenShift AI/ML Session Recordings

Whether you choose classroom, online, or corporate training, you will receive recordings of each session of OpenShift AI/ML Course on our Learning Management System (LMS) . This allows you to:

  • Revise at Your Convenience: Review the recorded sessions at any time to reinforce your understanding of the topics covered.
  • Catch Up on Missed Content: If you miss a session, you can easily catch up by watching the recording.
  • Flexible Learning: Revisit challenging concepts and sections as many times as needed, ensuring a thorough grasp of the material.

At WebAsha Technologies, we are committed to providing you with a seamless and effective and best learning experience of OpenShift AI/ML Course, tailored to your needs and schedule.

Trainer Profile

Our trainers are dedicated to simplifying complex concepts, ensuring that candidates grasp them with ease and effectiveness. We believe in granting our students the freedom to explore subjects thoroughly, offering a training environment that nurtures understanding.
Here's why our training stands out:
  1. Real-Time Examples: Concepts are taught based on real-world examples, providing practical insights that go beyond theoretical knowledge.
  2. Project Assistance: Our trainers go the extra mile by assisting candidates in completing projects. Whether it's project completion or preparation for interview questions, we've got you covered.
  3. One-to-One Training: Experience personalized learning with our one-to-one training classes. Feel free to ask questions at any time, creating an interactive and dynamic learning experience.
Our trainers bring a wealth of experience, with a track record of benefiting companies such as Atos, Cloud Reach, IBM, Samsung R&D, Wipro, Dell, HPE, GE, JP Morgan, Wells Fargo, RBS, Vodafone, Airtel, Nokia, Ericsson, Accenture, Capgemini, and many more.
Key highlights of our trainers:
  • Over 10+ Years of Experience: Seasoned experts in Linux and related technologies, our trainers bring a wealth of experience to the table.
  • Up-to-Date Expertise: Staying current is crucial. Our trainers actively work on real-world industry applications, ensuring their knowledge is always up-to-date.
  • Real-Time Industry Projects: Gain insights from trainers with hands-on experience in multiple real-time industry projects.
  • Extensive Student Impact: With a track record of training over 1000+ students annually, our trainers have made a significant impact on shaping successful careers.
  • Certified Professionals: Our trainers hold high-grade certifications, showcasing their commitment to excellence.
  • Strong Theoretical & Practical Knowledge: Balancing theoretical depth with practical insights, our trainers ensure a comprehensive understanding of the subjects.
Join us on a learning journey where complexity becomes simplicity, and knowledge transforms into practical expertise. Explore the freedom to learn, grow, and succeed with our expert trainers by your side.
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OpenShift AI/ML Certification Bootcamp

Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)

Overview

The OpenShift AI267 | EX267 Certification Bootcamp is a comprehensive training program designed for IT professionals seeking to enhance their expertise in deploying and managing AI/ML applications on Red Hat OpenShift. This bootcamp prepares candidates for the EX267 certification exam, which validates their skills and knowledge in this specialized field.


Key Features

  1. Intensive Training: The bootcamp provides in-depth training on developing, deploying, and managing AI/ML applications using Red Hat OpenShift AI.
  2. Hands-On Experience: Participants gain practical experience through hands-on labs and real-world scenarios, ensuring they can apply what they've learned in a professional setting.
  3. Expert Instructors: The training is led by certified instructors with extensive industry experience, providing valuable insights and guidance.
  4. Certification Preparation: The bootcamp includes comprehensive preparation for the EX267 certification exam, covering all key topics and skills required to pass the exam successfully.


Curriculum Highlights

  • Introduction to Red Hat OpenShift AI: Understanding the fundamentals of OpenShift AI and its applications in AI/ML.
  • Data Science Projects and Jupyter Notebooks: Learning how to manage data science projects and utilize Jupyter Notebooks within OpenShift.
  • Installing and Managing OpenShift AI: Step-by-step guidance on installing OpenShift AI and managing users and resources.
  • Custom Notebook Images: Creating and using custom notebook images for specialized tasks.
  • Machine Learning Essentials: Basics of machine learning, including training and enhancing models with Red Hat OpenShift AI.
  • Model Serving and Workflow Automation: Implementing model serving and automating workflows using Elyra and Kubeflow pipelines.


Target Audience

  • Data Scientists and AI Practitioners: Professionals looking to leverage OpenShift AI for building and training machine learning models.
  • Developers: Individuals interested in integrating AI/ML capabilities into their applications.
  • MLOps Engineers: Experts responsible for the deployment, configuration, and monitoring of AI/ML applications on OpenShift.


Prerequisites

  • Experience with Git and Python: Familiarity with Git and Python is required, or completion of relevant courses such as Python Programming with Red Hat (AD141).
  • Knowledge of Red Hat OpenShift: Prior experience with Red Hat OpenShift, or completion of the Red Hat OpenShift Developer II: Building and Deploying Cloud-native Applications (DO288) course.
  • Basic Understanding of AI/ML: Fundamental knowledge of AI, data science, and machine learning is recommended.


Benefits of Certification

  • Industry Recognition: EX267 certification is highly regarded in the industry, enhancing your professional credibility.
  • Career Advancement: Certified professionals often see improved job prospects and potential for career growth.
  • Skill Validation: The certification validates your ability to develop and manage AI/ML applications on Red Hat OpenShift, demonstrating your proficiency to employers.


How to Enroll

To enroll in the OpenShift AI267 | EX267 Certification Bootcamp, visit the official WebAsha Technologies website for more details on registration, schedule, and fees.

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Real Exam Format and Information

Exam Name
Red Hat Certified Specialist in OpenShift AI Exam (EX267)
Exam Duration :
180 Minutes
Number of Questions :
8-10
Exam Fee :
Varies country to country (20,000 + 18% GST for India)
Validity :
3 years
Exam Code :
EX267
Exam Format :
Lab based
Passing Score :vv
210 out of 300
Eligibility/Prerequisite :
None
Exam Languages :
English, Japanese, Korean, and Simplified Chinese


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OpenShift AI/ML Training & Global Certification Benefits | Job Profiles | Salary Range

Benefits of EX267 Certification:

  1. Enhanced Skill Set: Acquiring EX267 certification demonstrates a deep understanding of deploying and managing AI/ML applications on Red Hat OpenShift, making you proficient in this specialized area.
  2. Career Advancement: Certification from Red Hat is highly regarded in the industry, often leading to better job opportunities and promotions.
  3. Credibility and Recognition: It provides validation of your skills and knowledge, boosting your credibility among peers and employers.
  4. Increased Job Opportunities: Certified professionals are more likely to be shortlisted for roles requiring expertise in OpenShift AI.
  5. Networking Opportunities: Joining a community of certified professionals can lead to valuable networking opportunities.

Job Designations:

  1. Machine Learning Engineer
  2. Data Scientist
  3. AI/ML Developer
  4. OpenShift Administrator
  5. DevOps Engineer with AI/ML Focus
  6. MLOps Engineer
  7. Cloud AI Engineer
  8. AI Infrastructure Engineer

Salary Expectations:

The salary for professionals holding the EX267 certification can vary based on experience, location, and the specific role. Here are some general salary ranges for related positions:
  1. Machine Learning Engineer:
    • Average Salary: $100,000 - $150,000 per year.
  2. Data Scientist:
    • Average Salary: $95,000 - $145,000 per year.
  3. AI/ML Developer:
    • Average Salary: $90,000 - $140,000 per year.
  4. OpenShift Administrator:
    • Average Salary: $80,000 - $120,000 per year.
  5. DevOps Engineer with AI/ML Focus:
    • Average Salary: $95,000 - $135,000 per year.
  6. MLOps Engineer:
    • Average Salary: $100,000 - $140,000 per year.
  7. Cloud AI Engineer:
    • Average Salary: $105,000 - $150,000 per year.
  8. AI Infrastructure Engineer:
    • Average Salary: $110,000 - $160,000 per year.
These figures are approximate and can vary significantly based on geographic location, the size of the company, and the individual's level of experience and additional skills.

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AI267 | EX267 | Red Hat Certified Specialist in OpenShift AI

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