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AI Solutions Mastery

AI Practitioner

 

 

Transition into a

Skilled End-to-End Data Scientist

(in 4 Weeks )

 

By Following a 10-Step Roadmap and Engaging in Hands-On Projects to Solve Real-World Problems and Deploy an AI Web Application

 

Training is Suitable for you if: 

Individuals:

  • 👤Industry Experts: You are an industry expert whose company wants to train in ML and AI to leverage your domain knowledge with advanced data science skills.

  • 👤 Professionals and PhD Graduates: You are a professional (e.g., Finance Expert, IT Specialist) or a recent PhD graduate aiming to move into a data science role

  • 👤 Data Scientists: You are a data scientist with limited real-life project experience seeking to apply best practices.

Companies:

  • 👤 Upskilling Internal Talent: You are a company looking to upskill your internal talent in machine learning and AI to avoid the lengthy process of onboarding external data scientists who need to learn your business.

Possible Start Dates in 2024: 
  • 📆  Fall: 1 October | 1 November | 1 December 
Reschedule :
  • 🔄 You can Reschedule to Any Month That Suits You 
Immediate Access: 
  • ⚡ Get Immediate Access to Lessons Upon Registration

 

Certificate: 
  • 🏅 Yes
Duration:
  • ⌛4-Weeks
  • 🕒Total 12 hours Lessons

 

Price (excl. VAT):  
€1487
  
ENROLL NOW

YOU WILL LEARN

 

  • Business Understanding: Analyze real-world problems.
  • Data Understanding & EDA: Perform initial data cleaning and exploratory data analysis using Pandas, Matplotlib, Seaborn, and NetworkX.
  • Data Preparation: Prepare data for modeling.
  • Feature Engineering: Implement advanced feature engineering techniques.
  • Modelling: Build AI models (Supervised Learning: Build 9 different models including XGBoost; Deep Learning: TensorFlow, Keras; Unsupervised Learning: Anomaly Detection - Isolation Forest, AutoEncoders; Clustering - K-means, DBSCAN, Hierarchical Clustering).
  • Model Fine-Tuning: Enhance models with hyperparameter tuning using Hyperopt.
  • Evaluation / Comparison: Compare multiple models using different classification metrics such as AUCPR to select the best performer.
  • AI Fairness: Explore different types of parity to ensure fairness in AI models (FairLearn).
  • AI Explainability: Understand model decisions (SHAP).
  • Deployment: Develop and deploy models using web applications (Streamlit).

YOUR PROGRAM

 

  WEEK 1

   Start the Engine (Start of 1st End to End Project)
    1. 📋 Get Started
    2. 🎥 Introduction to AI vs Machine Learning vs Deep Learning vs DS
    3. 🎥 Introduction to 10 Essential Steps of Data Science (Data Science Framework to 10X Your Performance)
    4. 🎥 Introduction to Business Understanding - Problem Understanding & Getting the Big Picture
    5. 🎥 Working With Real-World Data (HANDS-ON)
    6. 🎥 Data Understanding - Part 1: Setup and Data in Google Colab (HANDS-ON)
    7. 🎥 Data Understanding - Part 2: Collect and Describe Data (HANDS-ON)
    8. 🎥 Data Understanding - Part 3: Explore and Verify Data (HANDS-ON)
    9. 📋 Assignment Week 1 - Apply Your Skills in Data Understanding & EDA (HANDS-ON)

 

  WEEK 2

   AI Solution Engineered
    1. 🎥 Introduction to Week 2 - Data Prep - Feature Engineering - Modelling
    2. 🎥 Why Data Preparation and Feature Engineering
    3. 🎥 Why Modelling? Which Models? Model Evaluation Method
    4. 🎥 ScikitLearn Library - the Golden Source  (HANDS-ON)
    5. 🎥 Data Preparation: Setup Unique IDs and Stratified Test Set  (HANDS-ON)
    6. 🎥 Data Preparation: Feature Transformation  (HANDS-ON)
    7. 🎥 Feature Engineering  (HANDS-ON)
    8. 🎥 Modelling  (HANDS-ON)
    9. 📋 Assignment Week 2: Apply Your Skills in Data Preparation, Feature Engineering, and Modeling  (HANDS-ON)
    10. 💬 Q&A Live Session

 

  WEEK 3

   AI Solution Advance
    1. 🎥 Modelling - Supervised Learning - Classification - Regression
    2. 🎥 Introduction to Classification Metrics
    3. 🎥 ML Algorithms - Naive Bayes - Logistic Regression
    4. 🎥 ML Algorithms - Tree - Ensemble - Gradient Descent - RandomForest - Gradient Boosting
    5. 🎥 Solutions to Imbalanced Data - Part I - SMOTE - ADASYN
    6. 🎥 Introduction to Deep Learning and Its Concepts
    7. 🎥 Solutions to Imbalanced Data - Part II - GANs and Oversampling with CTGANs
    8. 🎥 Hyperparameter Tuning
    9. 🎥 Hyperparameter Tuning Using Bayesian and Tree-structured Parzen Estimators
    10. 🎥 XGBoost Hyperparameters
    11. 🎥 Supervised Classification XGBoost Deep Learning Hyperparameter Tuning CTGANs (HANDS-ON)
    12. 📋 Assignment Week 3: Ensemble Classification - Deep Learning Oversampling with SMOTE, ADASYN, and CTGANs, and Hyperparameter Tuning

 

  WEEK 4

   AI Solution Ultimate
    1. 🎥 Introduction to ML Algorithms - Distance Similarity - KNN - Clustering - Anomaly Detection
    2. 🎥 Introduction to AI Explainability - Global vs Local Explainability - SHAP Values
    3. 🎥 Introduction to AI Fairness for Classification with Tabular Data - FairLearn Library
    4. 🎥 Final Model Selection - Deep Learning Ensemble Model Selection Hyperparameter Tuning (HANDS-ON)
    5. 🎥 Model Selection - Unsupervised Learning Anomaly Detection Dimensionality Reduction (HANDS-ON)
    6. 🎥 AI Explainability - Global vs Local Explainability - SHAP Values (HANDS-ON)
    7. 🎥 Hands-on AI Fairness with FairLearn (HANDS-ON)
    8. 📋 Instruction to Install Streamlit (HANDS-ON)
    9. 🎥 Workshop on Streamlit - Web Application Library for Deployment (HANDS-ON)
    10. 🎥 Complete Pipeline and Deployment with Streamlit (HANDS-ON)
    11. 📋 Assignment Week 4 - Unsupervised Learning, Deep Learning, Explainability, Fairness, Pipeline and Deployment (HANDS-ON)

    12. 💬 Q&A Live Session

ENROLL NOW

TRAINING IS FOR YOU IF:

 

✔ You have some basic experience with Python.

✔ Your Profile is any of the following:

  • 👤 You are an Industry Expert whose company wants to train in ML and AI to leverage your domain knowledge with advanced data science skills.
  • 👤 You are a Professional (e.g., Finance Expert, IT Specialist) or a recent PhD graduate aiming to move into a data science role.
  • 👤 You are a Data Scientist with Limited Real-life Project Experience seeking to apply best practices.

✔ You want to get certified in data science.

✔ You want to learn from an AI expert with over 20 years of real-world experience.

✔ You want to gain the skills to successfully apply data science in any field.

 

 

TRAINING IS NOT FOR YOU IF:

 

✘ You’ve never worked with Python.

✘ You are already an experienced data scientist.

 

ENROLL NOW

YOUR TRAINER

Dr. Maryam Miradi

With 20+ Years in AI development, a PhD in AI, 24 publications, 2 books, 5 awards, and experience coaching 200+ data scientists in 12 Industries, I’m here to share AI Solutions with you.

VIEW PROFILE

ALSO INTERESTING FOR YOU

 

 

AI Solutions Mastery

AI Practitioner Plus

                                                          

You Learn

  • Everything from AI Practitioner 

                                                         

+ Your Capstone Project

✔ 2 x  Real-world Complex End to End Project.

                                                         

+ Your Personalization

✔ Personalized feedback on Weekly Assignments 

 

Duration:
  • ⌛5-Weeks
  • 🕒Total 14 hours Lessons

 

Price (excl. VAT):  
€1979

 

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 Any Questions?

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