Certified Machine Learning Operations Professional

6,500.00 3,250.00

50% Discount will end in

To train professionals in deploying, managing, and monitoring machine learning models using MLOps best practices and tools for scalable, reliable production workflows.

Description

Certification Name: Certified Machine Learning Operations Professional

Global Occupational Skill Standard – GOSS ID: GOSS/CIT/CMLOP/V1

Duration: One Month.

Eligibility: Graduation or Equivalent is required.

Objective: The Certified Machine Learning Operations (MLOps) Professional course is designed to provide professionals with the skills to deploy, manage, and monitor machine learning models in production environments efficiently and reliably. The course covers the entire MLOps lifecycle including model development, versioning, deployment strategies, continuous integration and continuous delivery (CI/CD) pipelines for ML, automated testing, monitoring model performance, and retraining.

Certification: Within 5 days after Completion of Online Assessment.

Get ready to join the Journey to become a GSDCI Certified Professional  – International Certification and Assessment Body.

Steps to become a GSDCI Certified Professional:

Step 1: Select your certification you want to pursue.

Step 2: Click on get certified tab, new pop up window will open.

Step 3: Click on pay certification fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay certification fee, You will be redirected to payment gateway, pay fee by any available options like Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of online assessment, you can download your Certificate Immediately.

Assessment Modules:

Module 1: Introduction to Machine Learning Operations (MLOps): Overview of MLOps and its importance, Differences between DevOps and MLOps, ML lifecycle and pipeline stages, Key challenges in deploying ML models, Roles and responsibilities in MLOps teams, MLOps tools and ecosystem overview.

Module 2: Data Management for MLOps: Data collection and ingestion techniques, Data versioning and lineage, Data validation and quality checks, Feature engineering and feature stores, Handling data drift and concept drift, Data governance and compliance in ML projects.

Module 3: Model Development and Training: Best practices in ML model development, Experiment tracking and reproducibility, Automated model training pipelines, Hyperparameter tuning and optimization, Collaborative model development, Model evaluation metrics and validation techniques.

Module 4: Model Deployment and Serving: Model packaging and containerization, Deployment strategies (A/B testing, Canary releases), Serving models at scale, Monitoring model performance in production, Handling model rollback and updates, Integration with application infrastructure.

Module 5: Monitoring and Maintenance: Continuous monitoring of model accuracy and performance, Detecting and managing model drift, Logging and alerting systems, Retraining strategies and automation, Resource management and cost optimization, Incident management in MLOps.

Module 6: Security, Compliance, and Governance in MLOps: Security risks and mitigation in ML systems, Data privacy and ethical considerations, Compliance with regulations (GDPR, HIPAA), Model explainability and transparency, Governance frameworks for ML, Auditing and documentation best practices.

GSDCI Online Assessment Detail:

  • Duration- 60 minutes.
  • Number of Questions- 30.
  • Number of Questions from each module: 5.
  • Language: English.
  • Exam Type: Multiple Choice Questions.
  • Maximum Marks- 100, Passing Marks- 50%.
  • There is no negative marking in any module.
Marking System:
S.No. No. of Questions Marks Each Question Total Marks
1 10 5 50
2 5 4 20
3 5 3 15
4 5 2 10
5 5 1 5
30   100
How Students will be Graded:
S.No. Marks Grade
1 91-100 O (Outstanding)
2 81-90 A+ (Excellent)
3 71-80 A (Very Good)
4 61-70 B (Good)
5 50-60 P (Pass)
6  0-49 F (Fail)

 

Benefits of Certification:

🌍 1. Global Recognition & Credibility – Stand out worldwide with a certification that opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

📜 2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

💼 3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

🤝 4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

📚 5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

🔍 6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

⏳ 7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.

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