Certified Machine Learning Professional

6,000.00 3,000.00

50% fee concession will end in

To prepare professionals to build, evaluate, and deploy machine learning models using practical tools and techniques for solving real-world problems.

Description

Certification Name: Certified Machine Learning Professional

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

Eligibility: Graduation or Equivalent or minimum 2 years of relevant experience (experience-based learners can directly enroll and certify).

Objective: The Certified Machine Learning Professional course is designed to equip learners with foundational to advanced knowledge and practical skills in machine learning concepts, algorithms, and applications. The course covers supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, ensemble methods, and model evaluation techniques.

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: Fundamentals of Machine Learning: Introduction to machine learning concepts, Types of machine learning (supervised, unsupervised, reinforcement), Data preprocessing and feature engineering, Overview of algorithms (linear regression, decision trees, clustering), Evaluation metrics and model validation, Bias-variance tradeoff and overfitting.

Module 2: Supervised Learning Techniques: Regression algorithms (linear, logistic, polynomial), Decision trees and random forests, Support vector machines (SVM), Ensemble methods (bagging, boosting), Neural networks basics, Model tuning and hyperparameter optimization.

Module 3: Unsupervised Learning and Clustering: Clustering algorithms (K-means, hierarchical, DBSCAN), Dimensionality reduction techniques (PCA, t-SNE), Association rule learning, Anomaly detection methods, Data visualization for unsupervised learning, Applications of unsupervised learning.

Module 4: Advanced Machine Learning Concepts: Introduction to deep learning, Natural language processing basics, Reinforcement learning fundamentals, Time series analysis and forecasting, Feature selection and extraction techniques, Model interpretability and explainability.

Module 5: Machine Learning Tools and Frameworks: Programming languages for ML (Python, R), Libraries and frameworks (scikit-learn, TensorFlow, PyTorch), Data handling with pandas and NumPy, Model deployment strategies, Experiment tracking and version control, Cloud platforms for ML.

Module 6: Practical Applications and Case Studies: Real-world ML project lifecycle, Case studies in finance, healthcare, marketing, Ethics and fairness in ML, Handling imbalanced datasets, Emerging trends and research in machine learning.

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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