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ABOUT MLOPS COURSES
Artificial Intelligence for IT Operations (MlOps) is revolutionizing how organizations manage, monitor, and optimize their IT systems. By leveraging AI and machine learning, MlOps empowers businesses to automate routine tasks, predict and prevent IT incidents, and enhance decision-making processes. At XOpsSchool, we offer comprehensive MlOps courses designed to equip learners with the knowledge and skills needed to excel in this transformative field. Whether you’re an IT professional looking to stay ahead of the curve, a student aiming to build a future-ready career, or an organization seeking to implement MlOps solutions, our courses cater to all experience levels. Combining theoretical foundations with hands-on training, our MlOps programs ensure that participants gain practical expertise in managing AI-driven IT operations efficiently.
Why Choose XOpsSchool for MlOps Courses?
At XOpsSchool, we pride ourselves on delivering an unparalleled learning experience through expertly crafted MlOps courses. Our programs are designed and delivered by industry professionals who bring years of real-world experience in AI, machine learning, and IT operations. By integrating their insights into our curriculum, we ensure that participants gain both theoretical knowledge and actionable skills. What truly sets us apart is our commitment to hands-on learning. Every course includes interactive labs, case studies, and live projects that simulate real-world scenarios, helping participants apply what they learn directly to their professional roles. Additionally, our globally recognized certifications validate your expertise, enhancing your credibility and career prospects in the competitive IT industry.
Key Features of Our MlOps Courses
Our MlOps courses are meticulously designed to provide a holistic and practical learning experience.
- Expert-Led Training: Learn from industry leaders with extensive experience in MlOps, AI, and machine learning.
- Real-World Application: Gain practical knowledge through hands-on labs, case studies, and live projects.
- Flexible Learning Options: Choose from virtual, on-site, or hybrid learning formats to fit your schedule.
- Access to Leading Tools: Work with industry-standard MlOps platforms like Splunk, Moogsoft, and Dynatrace.
- Certification: Earn a globally recognized MlOps certification to validate your expertise and boost your career.
Benefits of MlOps Training
Investing in MlOps training unlocks opportunities for both individuals and organizations. For individuals, our courses provide the skills needed to excel in high-demand roles such as MlOps Engineer, IT Operations Analyst, and DevOps Specialist. By mastering AI-driven IT workflows, you position yourself as an indispensable part of your organization’s digital transformation. For organizations, MlOps training helps teams enhance IT efficiency, reduce downtime, and adopt AI-powered automation. With trained professionals, businesses can implement scalable MlOps solutions that deliver measurable improvements in system performance and operational reliability.
Tools and Technologies Covered
Our MlOps courses provide hands-on training with industry-leading tools, including:
- Monitoring and Incident Management: Splunk, Moogsoft, Dynatrace.
- Data Analysis and Visualization: Grafana, Kibana.
- AI and Machine Learning Frameworks: TensorFlow, Scikit-learn, Python libraries.
- Automation and Orchestration: Jenkins, Kubernetes, ServiceNow.
Instructor-led, Live & Interactive Sessions
DURATION |
MODE |
PRICE |
ENROLL NOW |
|---|---|---|---|
60 Hrs |
Self learning using Video |
9,999/- |
|
60 Hrs |
Live & Interactive in Online Batch |
24,999/- |
|
60 Hrs |
One to One Live & Interactive in Online |
59,999/- |
|
2 - 3 Days (Approx) |
Corporate (Online/Classroom) |
Contact US |
Calendar |
AGENDA OF THE MLOPS COURSES
- Overview of the course objectives and outcomes.
- Introduction to MlOps and its significance in IT operations.
- What is MlOps?
- The evolution of IT operations: From manual to AI-driven processes.
- Key benefits and challenges of implementing MlOps.
- Understanding the MlOps lifecycle: Data ingestion, anomaly detection, event correlation, and automated response.
- Key principles: Automation, machine learning, and proactive incident management.
- Overview of popular tools: Splunk, Dynatrace, Moogsoft, and ServiceNow.
- Understanding their role in monitoring, analytics, and automation.
- Introduction to a basic MlOps setup.
- Configuring a monitoring tool to collect data from IT systems.
- Overview of machine learning techniques used in MlOps: Anomaly detection, clustering, and predictive analytics.
- Real-world applications of machine learning in IT operations.
- Collecting, processing, and analyzing IT operations data.
- Ensuring data quality for accurate AI/ML insights.
- Automating routine IT tasks using MlOps tools.
- Designing workflows for incident detection, root cause analysis, and resolution.
- Build an automated workflow using an MlOps tool.
- Configure alerts and responses for common IT incidents.
- Event correlation and advanced anomaly detection.
- Using AI for predictive maintenance and capacity planning.
- Strategies for implementing MlOps in large-scale IT operations.
- Integrating MlOps with DevOps and ITSM practices.
- Analysis of successful MlOps implementations across industries.
- Group discussion: Lessons learned and common challenges.
- Design and deploy a complete MlOps pipeline for monitoring and incident management.
- Test the pipeline with real-world data scenarios.
- Recap of key concepts and practical skills learned.
- Discussion on certification process and next steps for continued learning.
PROJECT
As part of this projects, we would help student to have first hand experience of real time software project development planning, coding, deployment, setup and monitoring in production from scratch to end. We would also help students to visualize a real development environment, testing environment and production environments. The goal of this project. Project technology would be Java, Pythong and DOTNET and based on microservices concept..
INTERVIEW
As part of this, You would given complete interview preparation support until you clear a interview and get onboarded with organziation including demo inteview and guidance. More than 50 sets of Interview KIT would be given including various project scenario of the projects.
OUR COURSE IN COMPARISON
| FEATURES | XOPSSCHOOL | OTHERS |
|---|---|---|
| Faculty Profile Check | ||
| Lifetime Technical Support | ||
| Lifetime LMS access | ||
| Top 25 Tools | ||
| Interviews Kit | ||
| Training Notes | ||
| Step by Step Web Based Tutorials | ||
| Training Slides | ||
| Training + Additional Videos |
MlOps skills are essential for every software engineer because they enable the integration of AI and machine learning into IT operations, automating workflows and optimizing performance. As IT environments grow more complex, engineers with MlOps expertise can proactively identify and resolve issues, enhance system reliability, and drive smarter decision-making. These skills not only streamline development and operations but also position engineers as key contributors to their organization's digital transformation, ensuring they remain competitive in an AI-driven industry.
- Master MlOps Fundamentals: Gain a solid understanding of MlOps principles and workflows.
- Hands-On Training: Work on real-world projects to build practical skills in MlOps.
- Learn Advanced Tools: Get proficient with tools like Splunk, Dynatrace, and Moogsoft.
- Automate IT Operations: Learn to automate workflows, incident management, and anomaly detection.
- Career Growth: Enhance your resume with MlOps expertise and a recognized certification.
- Real-World Problem Solving: Solve IT challenges using AI and machine learning techniques.
- Corporate Applications: Equip teams to scale and implement MlOps in enterprise environments.
- Cutting-Edge Knowledge: Stay ahead with insights into the latest trends and tools in MlOps.
- Certification: Validate your skills with an industry-recognized MlOps certification.
- Customized Learning: Choose flexible training options suited for individuals and organizations.
- Basic IT Knowledge: Familiarity with IT systems, infrastructure, and workflows.
- Programming Basics: Understanding of Python, Java, or similar languages (helpful but not mandatory).
- DevOps Awareness: Familiarity with concepts like CI/CD pipelines and IT automation (optional but beneficial).
- Data Analytics Basics: Knowledge of data visualization and analytics tools (optional).
- AI/ML Concepts: Basic awareness of artificial intelligence and machine learning (not mandatory).
- Problem-Solving Skills: A logical and analytical mindset to address IT challenges.
- Team Collaboration: Willingness to work in cross-functional teams for MlOps implementation.
- Learning Enthusiasm: No prior MlOps experience is required, just a desire to learn and innovate.
UPCOMING EVENTS - OTHER CERTIFICATION COURSES
October 2020
October 2020
October 2020
October 2020
October 2020
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MlOps COURSES CERTIFICATIONS
What are the benefits of MlOps Courses certifications?
Certifications always play an important role in any profession. It is considered as one of the best way to determine one’s credibility and worth in the professional career. The same thing is applicable in MlOps, if you are a certified MlOps professional then you will get certain benefits:
- MlOps Courses certification assure recruiters that the MlOps professional whom we are going to hire have the skills, knowledge, and competency to perform the responsibilities what expected from them after hiring.
- MlOps as a technology is dominating the job market. MlOps engineer ranks #2 on Glassdoor's best jobs rankings. The role of MlOps certified professional has seen a 200% jump in postings on indeed" according to SD times report
- This certified course helps anyone who aspires to make a career as a MlOps professional.
- MlOps Certified Engineer is one of the most highly paid job roles in the world. Pay scale even for junior level MlOps practitioner is quite high.
- According to indeed and other job portals, 80% of the companies pay more than $90000 starting salary to a MlOps Certified Professionals. Also, 35% pay at least $115000 and 17% more than $125000
- Obviously there are several factors which affects salary for like geography, skills, company, it varies accordingly. In Cities like Bangalore/Hyderabad MlOps Certified Professional can expect - INR 3,25,672 - 19,42,394 which is not at all a bad package.
- MlOps is going to stay here for long time. Therefore, organizations and as well as professionals need to change as they have no choice but to evolve. If they will evolve then demands of certified professionals will definitely increase and the sooner you do it, the sooner you will be in a leading position.
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FREQUENTLY ASKED QUESTIONS
1. What is MlOps, and why should I learn it?
MlOps (Artificial Intelligence for IT Operations) leverages AI and machine learning to automate and optimize IT workflows, detect anomalies, and improve system reliability. Learning MlOps equips you with cutting-edge skills to handle complex IT environments and advance your career in a rapidly evolving industry.
2. Who should take this course?
Our MlOps courses are ideal for:
- Students and Fresh Graduates: Seeking to build a foundation in MlOps for a future-ready career.
- IT Professionals: Looking to upskill and stay competitive in the field.
- Organizations: Aiming to train teams to adopt and scale MlOps practices.
3. Are there any prerequisites for enrolling in the course?
While no prior MlOps experience is required, the following can be helpful:
- Basic understanding of IT systems and programming (e.g., Python, Java).
- Awareness of AI/ML and DevOps concepts (optional).
- A willingness to learn and solve IT challenges using AI-driven techniques.
4. What topics are covered in the course?
Our courses include:
- Fundamentals of MlOps and its role in IT operations.
- Hands-on experience with tools like Splunk, Dynatrace, and Moogsoft.
- Machine learning techniques for anomaly detection and predictive analytics.
- Workflow automation and event correlation.
- Real-world case studies and project implementation.
5. What tools and technologies will I learn?
You’ll gain hands-on experience with:
- Monitoring and Management Tools: Splunk, Dynatrace, Moogsoft.
- Data Analysis and Visualization: Grafana, Kibana.
- AI/ML Frameworks: TensorFlow, Scikit-learn, and Python libraries.
- Automation Platforms: ServiceNow, Jenkins, and Kubernetes.
6. Will I receive a certification upon completion?
Yes, all participants who successfully complete the course will receive an industry-recognized MlOps certification. This certification validates your expertise and enhances your career prospects.
7. How are the courses delivered?
We offer flexible learning options:
- Virtual Instructor-Led Training: Interactive live sessions with expert trainers.
- On-Site Training: Tailored programs delivered at your organization.
- Self-Paced Learning: Learn at your own convenience with recorded sessions and resources.
8. Is there any hands-on practice in the course?
Yes, our courses emphasize practical learning through:
- Real-world projects and case studies.
- Hands-on labs using popular MlOps tools.
- Guided exercises to build and deploy MlOps workflows.
9. How long does the course take?
The course duration varies depending on the program:
- Foundational MlOps Course: 2-3 days.
- Advanced MlOps Course: 3-5 days.
- Corporate Training: Customized based on organizational needs.
10. How will this course benefit my career?
MlOps is a rapidly growing field, and professionals with MlOps expertise are in high demand. By completing this course, you’ll gain:
- Proficiency in AI-driven IT operations.
- Hands-on experience with industry-leading tools.
- A globally recognized certification to enhance your resume.
- Access to high-demand roles like MlOps Engineer, IT Operations Analyst, and DevOps Specialist.
11. Can organizations customize the training for their teams?
Yes, we offer tailored corporate training programs to address the specific challenges and goals of your organization. Our team works closely with you to design a curriculum that aligns with your business needs.
12. How do I enroll in the MlOps course?
You can enroll by visiting our MlOps Courses page or contacting our support team for assistance. We’ll help you select the course that best suits your goals.
REVIEWS
Abhinav Gupta, Pune
(5.0)The training was very useful and interactive. Rajesh helped develop the confidence of all.
Indrayani, India
(5.0)Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.
Ravi Daur , Noida
(5.0)Good training session about basic MlOps concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.
Sumit Kulkarni, Software Engineer
(5.0)Very well organized training, helped a lot to understand the MlOps concept and detailed related to various tools.Very helpful.
Vinayakumar, Project Manager, Bangalore
(5.0)Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.
Abhinav Gupta, Pune
(5.0)The training with Xopsschool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.
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