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MICRO DEGREE

Machine Learning & Deep Learning

Become an expert in Machine Learning & Deep Learning in 6 weeks

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Become an expert in Machine Learning & Deep Learning in 6 weeks

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Application closes on:21 Apr 2026
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Available in 4 monthly installments at $109/month

What is in it for you?

Shape the future with Machine Learning using Python

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Attend 4 weeks of instructor led live classes from the top 1% industry experts

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Projects & Case Studies

Projects & Case Studies

Projects & Case Studies

Gain hands-on experience with projects and real-world case studies for impactful learning.

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Verified Certificate

Verified Certificate

Verified Certificate

Earn a industry recognized certificate and kick start your career

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Session Recordings

Session Recordings

Session Recordings

Revisit older chapters anytime with recorded sessions

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Flexible Schedule

Flexible Schedule

Flexible Schedule

Choose live classes from different cohorts that fit your availability.

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Hands-on Classes

Hands-on Classes

Hands-on Classes

Hands-on classes to enhance your learning experience

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$4375.00$437.00
limited time offer90% OFF

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$4375.00$437.00
limited time offer90% OFF

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2

Basic Info

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Application closes on:21 Apr 2026
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money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $109/month

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Machine Learning & Deep Learning
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money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $109/month

Reserve your spot today!

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Curriculum

A Curriculum designed for your success

Duration: 6 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
dateSat - Sun (Weekends Only) timeTiming 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST

1. Machine Learning Foundations & Linear ModelsDownArrow
Sub-topics Covered
  • Introduction to Machine Learning: Types, Applications & Real-World Impact
  • The ML Pipeline: From Problem Definition to Model Deployment
  • Linear Regression - Mathematical Foundation (Cost Function & Gradient Descent)
  • Logistic Regression - Sigmoid Function & Classification Mechanics
  • Model Evaluation Metrics: Accuracy, Precision, Recall, F1-Score, ROC-AUC
  • Hands-on: Build & Deploy Your First ML Model (House Price Prediction)
2. Tree-Based Algorithms & Ensemble MethodsDownArrow
Sub-topics Covered
3. Support Vector Machines & Clustering AlgorithmsDownArrow
Sub-topics Covered
4. Neural Networks - Building Blocks & BackpropagationDownArrow
Sub-topics Covered
5. Optimization Algorithms & Regularization TechniquesDownArrow
Sub-topics Covered
6. Deep Learning with TensorFlow/Keras & PyTorchDownArrow
Sub-topics Covered
7. Convolutional Neural Networks (CNNs) - Theory & ArchitectureDownArrow
Sub-topics Covered
8. CNNs - Advanced Applications & Computer VisionDownArrow
Sub-topics Covered
9. Recurrent Neural Networks (RNNs) & Time SeriesDownArrow
Sub-topics Covered
10. Attention Mechanisms & Transformer ArchitectureDownArrow
Sub-topics Covered
11. Model Evaluation, Tuning & InterpretabilityDownArrow
Sub-topics Covered
12. End-to-End ML Project & Production DeploymentDownArrow
Sub-topics Covered

Mentors

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10+ Years, Tech Leader, Tiger Analytics

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18+ Years, Sr. Architect, Microsoft

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Course Includes

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Certificate

Tools Covered

tool

Course Includes

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Certificate

Course Pre-requisites

  • pre-requisiteBasic Python programming (variables, loops, functions, libraries)
  • pre-requisiteFundamental statistics (mean, variance, distributions, probability)
  • pre-requisiteBasic linear algebra (matrices, vectors, matrix multiplication)

Outcomes

  • skillsImplement linear regression and logistic regression models from scratch using gradient descent optimization
  • skillsBuild and evaluate tree-based models and ensemble methods including Random Forests, XGBoost, and LightGBM
  • skillsDesign clustering pipelines using K-Means, Hierarchical Clustering, and DBSCAN for unsupervised learning tasks
  • skillsApply Support Vector Machines with various kernel functions for classification problems
  • skillsConstruct multi-layer neural networks and perform backpropagation with different activation and loss functions
  • skillsPerform dimensionality reduction using PCA to handle high-dimensional datasets
  • skillsEvaluate model performance using metrics such as Accuracy, Precision, Recall, F1-Score, and ROC-AUC
  • skillsBuild end-to-end ML pipelines from problem definition through model training, evaluation, and deployment

Real-World Case Studies

Learn through real-world case studies

Premium Pricing Optimization

Insurance


Premium Pricing Optimization

Developed a machine learning model to optimize insurance premium pricing, resulting in 15% increased profitability while maintaining customer satisfaction

Patient Treatment Response Prediction

Healthcare


Patient Treatment Response Prediction

Built a ML model to predict patient response to different treatments, improving treatment success rates by 28% through personalized medicine approaches

Algorithmic Trading Strategy

Finance


Algorithmic Trading Strategy

Created a machine learning-based trading algorithm analyzing market indicators and news sentiment, achieving 22% annual returns in backtesting

Personalized Recommendation Engine

Retail


Personalized Recommendation Engine

Implemented a collaborative filtering recommendation system for an online retailer, increasing average order value by 35% through personalized suggestions

background certification section

for successfully completing the 'Machine Learning & Deep Learning' course conducted from 09 Mar 2026 to 20 Apr 2026

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    Gain credibility in the field

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    Networking

    Connect with experts and peers

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    Attract exciting job prospects and promotions

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for successfully completing the 'Machine Learning & Deep Learning' course conducted from 09 Mar 2026 to 20 Apr 2026

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Limited time$4375.00
$437.00
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100% Moneyback Guarantee

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Looking for help? Here are our most frequently asked questions

1

What is a EdYoda Micro Degree?

EdYoda Micro Degree is an online, Live classroom based short-term course, where you get Live Sessions conducted by industry experts. It is designed to help you acquire practical & job-relevant skills quickly.

2

How do I register for the micro degree?

To register, visit the micro degree details page and fill up the registration form and make the payment to reserve your seat before the application closing date.

3

What happens after I register and pay?

After successful registration and payment, you will receive a confirmation email with instructions on how to access the online micro degree classes

4

Are there any pre-requisites?

All you need is a PC or Laptop to attend the online live classes and your commitment of 4 weeks. Apart from that there are no prerequisite for the Micro Degree.

5

What if I miss a live session?

We've got you covered! The session recording will be added automatically on the classroom platform after the session is ended.

6

Will I get a certificate after completion?

Yes. After successful completion of curriculum you will be provided a digital certificate which you can download and share with others.

faq img

What is a EdYoda Micro Degree?

EdYoda Micro Degree is an online, Live classroom based short-term course, where you get Live Sessions conducted by industry experts. It is designed to help you acquire practical & job-relevant skills quickly.

faq img

How do I register for the micro degree?

To register, visit the micro degree details page and fill up the registration form and make the payment to reserve your seat before the application closing date.

faq img

What happens after I register and pay?

After successful registration and payment, you will receive a confirmation email with instructions on how to access the online micro degree classes

faq img

Are there any pre-requisites?

All you need is a PC or Laptop to attend the online live classes and your commitment of 4 weeks. Apart from that there are no prerequisite for the Micro Degree.

faq img

What if I miss a live session?

We've got you covered! The session recording will be added automatically on the classroom platform after the session is ended.

faq img

Will I get a certificate after completion?

Yes. After successful completion of curriculum you will be provided a digital certificate which you can download and share with others.

General FAQs

Everything you need to know
What is the Machine Learning & Deep Learning Micro Degree, and who is it designed for?DownArrow
Micro Degree course is live or recorded?DownArrow
In what language will the course be taught?DownArrow
How do I access the course details and learning material after registration?DownArrow
Do I need to have prior programming experience to enroll?DownArrow
Who are the instructors, and what is their experience?DownArrow
Will there be assignments, assessments, or a final project in the course?DownArrow
Can I interact with instructors and fellow students during the course?DownArrow
What is 100% moneyback guarantee?DownArrow

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Machine Learning & Deep Learning

MICRO DEGREE

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