MLOps Training

Industry Relevant | Use Case Based Learning | Complete Hands-On

Vimal Daga

The World Record Holder, Founder at LinuxWorld & #13, Sr. Principal IT Consultant, TEDx Speaker & Philanthropist

He has been featured at:

Who are Hiring

Jobs in MLOps

The Rise of AI and MLOps

By 2025 100% of enterprises will be leveraging AI
The application of AI is expected to generate 97 million new jobs by 2025
MLOps specialists command top salaries with packages reaching up to ₹1 crore
The MLOps market is projected to reach US$4 billion by 2025

What will you learn in the training?

  • Understanding the Machine Learning Lifecycle
  • Phases of Model Development: Training, Validation, Deployment
  • Role of MLOps in Enhancing Model Lifecycle Management
  • Importance of MLOps in Enterprise Environments
  • Business Impact of Effective MLOps Implementation
  • Challenges Addressed by MLOps Practices

 

  • Components of MLOps Pipelines
  • Data Ingestion and Preprocessing
  • Model Training and Evaluation
  • Model Deployment and Monitoring
  • Architectural Considerations for MLOps Pipelines
  • Microservices vs. Monolithic Architectures
  • Scalability and Resilience in Pipeline Design
  • Version Control Best Practices for ML Models
  • Git-Based Versioning Strategies
  • Managing Model Artifacts and Metadata
  • Packaging Models for Deployment
  • Containerization with Docker and Kubernetes
  • Managing Model Dependencies and Environment Consistency
  • Strategies for Model Deployment
  • Batch Processing vs. Real-time Inference
  • Serving Models at Scale with Model Servers
  • Implementing Model Serving APIs
  • RESTful APIs for Model Inference
  • GRPC and Protobuf for Efficient Communication
  • Metrics and KPIs for Model Performance Monitoring
  • Accuracy, Latency, Throughput
  • Error Rates and Distribution Drift
  • Implementing Observability Tools
  • Logging, Tracing, and Profiling
  • Setting up Alerts and Thresholds for Anomaly Detection
  • Security Considerations in Model Deployment
  • Access Control and Authentication Mechanisms
  • Data Privacy and Encryption Practices
  • Regulatory Compliance in MLOps
  • GDPR, HIPAA, and Other Regulatory Frameworks
  • Auditing and Compliance Reporting
  • Automating Model Training Pipelines
  • Integration with Version Control Systems
  • Automated Testing and Validation
  • Continuous Deployment Strategies
  • Canary Deployments and Blue-Green Deployments
  • Rollback Strategies for Fault Tolerance

Why Choose MLOps?

Streamlined Deployment

MLOps (Machine Learning Operations) streamlines the deployment of machine learning models into production environments. By adopting MLOps practices, organizations can automate and standardize the process of deploying, monitoring, and managing machine learning models, resulting in faster time-to-market and increased efficiency.

Improved Collaboration

MLOps promotes collaboration and cross-functional teamwork among data scientists, machine learning engineers, software developers, and operations teams. By establishing clear workflows and communication channels, MLOps ensures that all stakeholders are aligned and working towards common goals, leading to smoother development and deployment cycles.

Enhanced Scalability

With MLOps, organizations can scale their machine learning initiatives more effectively. By leveraging cloud infrastructure and containerization technologies, MLOps enables seamless scaling of machine learning workloads to meet changing demands, whether it’s handling larger datasets, supporting more users, or deploying models across multiple environments.

Increased Reliability

MLOps practices focus on ensuring the reliability and robustness of machine learning systems in production. By implementing automated testing, monitoring, and error handling mechanisms, MLOps helps identify and address issues proactively, minimizing downtime and maximizing the performance of deployed models.

Continuous Improvement

MLOps fosters a culture of continuous improvement by integrating feedback loops into the machine learning lifecycle. By collecting and analyzing data on model performance, usage patterns, and user feedback, organizations can iteratively refine and optimize their machine learning models over time, delivering greater value to users and stakeholders.

Compliance and Governance

MLOps enables organizations to enforce compliance and governance policies throughout the machine learning pipeline. By implementing version control, documentation, and audit trails, MLOps ensures transparency and accountability, helping organizations meet regulatory requirements and mitigate risks associated with deploying machine learning models in production.

Competitive Advantage

Embracing MLOps gives organizations a competitive edge in today’s data-driven landscape. By accelerating the development and deployment of machine learning solutions while maintaining reliability and scalability, organizations can innovate faster, deliver better user experiences, and stay ahead of the competition.

Future-Proofing

As machine learning continues to evolve rapidly, MLOps provides a framework for adapting to emerging technologies and trends. By investing in MLOps practices, organizations can future-proof their machine learning initiatives and ensure they remain agile and competitive in the face of technological advancements.

Who is this training for?

Working IT Professionals
Freshers aspiring for an IT role
College pursuing students
Managers & Team Leaders
Technical Co-Founders
College HOD & Professors

4 Reasons to learn MLOps under Mr Vimal Daga

01

Teaching beyond the certification

 

02

Practical Industry knowledge, Creator mentality

03

60 days technical support and a community for lifetime networking

04

Exclusive training of most demanded & market valued MLOps 

Still not sure if the training is for YOU?

Please see if you can resonate with any, tick where your answer is YES !

If you have ticked any of the above box, then you are invited to join MLOps Training

Get Certified

Yes! You will be certified for this training once you submit the task given, if any

Official and verified:

Receive an instructor signed certificate with institution’s logo to verify your achievements and increase your job prospects

Easily shareable

Add the certificate to your CV or your Resume or post it directly on LInkedin. You can even post it on instagram and twitter.

Enhances Credibility

Use your certificate to enhance your professional credibility and stand out among your peers as an expert

Increase potential opportunities

By showcasing your achieved skill set using your certificate, attracting the employer for the desired job opportunities becomes easy

Know Your Mentor

None of the technologies is complex since created by human beings. Hence, anyone can learn it and create something new.

#13 proudly presents Vimal Daga as the mentor for this program

A world record holder, Mr. Vimal Daga is a Technologist, Philanthropist & A TEDx Speaker who is dedicatedly working atowards his vision- “Awakening the youth through a culture of right education”.

He is the first one in the world to become “RedHat Certified Architect Level 25 along with Enterprise Application Level 10”. Companies benefited from his 19+ years of experience.

He has expertise in multitude of latest and high-end technologies namely Machine Learning, Deep Learning, Delphix, AppDynamics, Docker, DevOps, Cloud Computing, AWS, and many more.
2,00,000+ Students Impacted
1,50,000+ Professionals trained
75+ Global Certifications
200+ Companies benefited

Vimal's Journey
From humble beginnings to winning learners' hearts across the globe

With the expertise to deliver any technology in an easy way and a heart to share his knowledge, Vimal Daga is a self-made IT enthusiast. He is meticulous about researching the skills needed for the future and making them available for the entrepreneurs & professionals of tomorrow. The masterly IT consultant has changed the lives of many students with his inspiring teachings. 

You can be the next!

Stepping Stones of Vimal’s vision: 

Vimal Daga, in his near 20 years of experience has earned many laurels. To mention a few:

  • Became Young Entrepreneur 
  • A TedX speaker
  • Trained more than 3500+ students for free
  • Two-time world record holder
  • Fastest achiever of 11 AWS global certifications (in 11 days)
  • Highest RHCA level holder (25th level with 10th level EA)
  • Creating 100s and more of entrepreneurs through his trainings

Book your spot ! We will be increasing the price soon…

Mlops Training - Launch Offer (Save ₹ 5,000)

₹ 15,000 ₹ 40,000 (+ taxes)

What you’ll learn...

And bonuses too...

Frequently Asked Questions

  • Starting from 28th June / 1st July 2024
  • Online / Offline mode available
  • 160 hours total

The program will be delivered LIVE, providing full interactive opportunities to participants for sustainable learning.

Yes, we do provide the access to the material which was covered in the training for your future reference for limited time span

No, we are not offering any corporate or group discount.

We start from the very basics, so no previous knowledge is required

Yes DEFINITELY..You will be added to a community where technical support team members will answer your queries for 60 days from the completion of the program.

We have a “no questions asked” 100% refund policy till 24 hours prior to the start of the program. After that, no refund will be entertained. Amount will be refunded within 7 days. For related queries email us at info@hash13.com.

Our alumni works at: