Become The Top 1% AIOps & Multi-Cloud
Engineer In 6 Months
Become The Top 1% AIOps & Multi-Cloud Engineer In 6 Months
and unlock limitless growth potential for a successful career
- 8th June 2024
- Time: 10:50 AM
- Application Deadline : 15th Sept 2023
- Program Start Date :16th Sept 2023
Join Webinar
We Recommend You Take The Readiness Test
skip the readiness test and directly enroll for the webinar by paying INR 1000/- which will be reimbursed after paying course fees
Are you an IT Professional looking to take your career to the next level?
Do you want to stay ahead in the tech industry and unlock new opportunities?
Look no further! AIOps & Multi-Cloud Engineer Training is designed just for you!
Who should learn AIops and Why
Who: Data Scientists
Why: Data scientists who develop machine learning models should learn MLops to effectively deploy their models in production environments. Understanding MLops principles helps them create models that are easier to operationalize and maintain.
Who: Machine Learning Engineers
Why: ML engineers are focused on designing and building the infrastructure required to deploy and maintain machine learning models in production. They work closely with data scientists to operationalize the models effectively.
Who: DevOps Engineers.
Why: DevOps engineers handle the overall infrastructure and deployment process. They build CI/CD pipelines, automate the deployment of models, manage containers. and ensure the reliability of the production environment.
Who: Data Engineers
Why:Data engineers are responsible for data pipelines and data infrastructure. They ensure data is collected, cleaned, and prepared for use in training and inference processes.
Who: Software Developers.
Why: Software developers are involved in integrating machine learning models into existing applications or building new ‘applications that leverage machine learning capabilites.
Who: Operation Team
Why: The operations team oversees the day- to-day monitoring and maintenance of the ML. system in production. They handle issues. ensure scalability, and keep the system running smoothly
Who: Quality Assurance (GA) Team
Why: The GA team collaborates with other teams to establish testing strategies and ‘ensures the quality of ML models, code. and. deployments.
Who:Security Team
Why: The security team plays a vital role in ensuring that the ML syste is secure from potential threats and that sensitive data is protected.
Who: Business Stakeholders
Why: Business stakeholders provide input on the requirements and expectations for the ‘machine learning models. They collaborate ‘with the technical teams to align MLops with business goals.
Who:Data Privacy & Compliance Specialists
Why: In cases where ML models handle sensitive or regulated data, these specialists ensure that MLops processes comply with data privacy regulations and other legal requirements.
Whatever position you are in currently, CloudAge MLops training will enable you to
rise up to the challenge and perform at the highest level in cutting edge technologies.
What will you learn in AIops?
MLops, short for “Machine Learning Operations,” refers to the practices and methodologies used to streamline the development, deployment, and management of machine learning models in production environments. It is an extension of DevOps principles specifically tailored for the unique challenges posed by machine learning workflows.
In essence, MLops aims to bridge the gap between data science and software development teams, ensuring that machine learning
models can be smoothly integrated into real-world applications and maintained effectively throughout their lifecycle. The primary :
focus of MLops is on automation, collaboration, and ‘continuous improvement to enable a seamless and efficient machine leaming
development process.
In this highly sought-after course, you will gain proficiency in the following key areas:
- Integration of ML Models: Unlock the power of machine learning by seamlessly integrating ML models into your software applications. Enhance your project capabilities with the latest in ML technology!
- Automation and CI/CD: Empower your development process with the magic of automation. Master Continuous Integration and Continuous Deployment (CI/CD) pipelines to accelerate your projects like never before.
- Resource Optimization: Learn to optimize resources effectively in cloud-based environments. Gain the expertise to scale your projects efficiently and control costs like a pro!
- Monitoring and Troubleshooting: Proactively monitor your ML models in production. Acquire top-notch troubleshooting skills to ensure seamless performance and gain a competitive edge.
What Technologies Will You Learn?
Stay ahead of the game with hands-on experience in cutting-edge technologies that dominate the MLops landscape:
- Containerization: Docker, Kubernetes
- CI/CD: Jenkins, GitLab CI/CD
- Cloud Platforms: AWS, Google Cloud, Azure
- Monitoring: Prometheus, Grafana
- Configuration Management: Ansible, Terraform
Look at what our esteemed Alumni have to say:
Krutika
I got to know about Cloudage through my cousin, who was taking the course. At that time, I was also working a job while attending classes. Balancing both became quite challenging, so I made the decision to quit my job and focus on the classes. Through the mock interviews, I gained the confidence to face real-time interviews.
It has been a great experience since joining Capgemini, and everything is going well. I’m looking forward to further learning and excelling in my job
Parvez
Hey everyone! Let me introduce myself briefly. I’m Parvez Maniyar and I work as a Data Support Engineer at Impetus Technologies, specifically for one of their products called Kyvos Insights. I’ve been working in this support role for a year now.
Recently, I received a hike in my salary and a promotion to Senior Support Engineer. I joined Cloudage in the May 2021 batch, and it took me around eight months to complete the course.
Vishal
I’m Vishal, and I have over 7 years of IT experience in Big Data and AWS Cloud. I began my journey in 2018 when I joined Cloudage. It was a pretty good experience working with all the people at Cloudage. Currently, I’m working at Persistent Systems as a Project Lead.
This course isn’t exactly easy or hard; it depends on your effort. Many individuals have secured jobs within 3 to 4 months after completing the course.
Don’t let this opportunity pass you by. Take action now and enroll in the AIOps & Multi-Cloud Engineer Training. Turn your passion for the cloud industry into a successful and fulfilling career.
Remember, the cloud industry is thriving, and opportunities are waiting for those who are skilled and knowledgeable. Don’t miss out — enroll now and unlock your potential with CloudAge’s AIOps & Multi-Cloud Engineer Training.
Don’t let this opportunity pass you by. Take action now and enroll in the AIOps & Multi-Cloud Engineer Training. Turn your passion for the cloud industry into a successful and fulfilling career.
Remember, the cloud industry is thriving, and opportunities are waiting for those who are skilled and knowledgeable. Don’t miss out — enroll now and unlock your potential with CloudAge’s AIOps & Multi-Cloud Engineer Training.
here's what will happen when you enroll
Zoom For better view
Training Method: Virtual Instructor-led Training (VILT)
Price: INR 42000/- Excluding GST.
FAQS
Pass & Fail are concepts of old school, in Real Life either you Learn or Earn & have Fun. Welcome to Twenty First Century.
While working in IT you will work Solo, while creating a project individually is Better however you get full support in the Team.
Full Focus Full Success, No Focus No Success. That depends on your roles and responsibilities at home, You will reduce the time to the path of success that is guaranteed.