Hands-on Data Science Training + Mentorship

AI Solutions Mastery

 

For Data Scientists, PhDs, Engineers, and Professionals

Move Beyond AI Theory

 &

Gain practical skills and confidence to land Data Science Jobs

 

My 20+ Years in AI in one Course

 
Enroll NOW!

 👤Instructor

 Dr. Maryam Miradi - AI Expert with 20+ Years in Hands-on AI Development

Join 200+ successful professionals who have been Trained by Maryam  ↓

 

Maryam's 20+ Years in AI

  • PhD in AI - Machine Learning & Deep Learning
  • Specialized in Computer Vision & NLP/LLMs
  • Best European Researcher in Future Vision 
  • Top Voice LinkedIn in ML and Data Science
  • Chief AI Scientist of Profound Analytics
  • 200+ Data Scientists are coached by me
  • 20+ Years of Experience
  • Best European Researcher in Future Vision
  • International Projects, Awards, Publications & Books

 

THIS IS FOR YOU

If you are:

👤 Professionals looking to upskill in AI and machine learning

👤 Data scientists / AI Engineers wanting to specialize in end-to-end AI solutions

👤 Engineers or developers who need hands-on experience with AI

👤 Individuals or organizations needing practical AI implementation skills

If you feel:

✔️ You've taken multiple courses, yet you still don’t feel job-ready for AI roles.

✔️ You have some experience in AI or Data Science, but real-world applications feel overwhelming.

✔️ Despite your efforts, you’re struggling to land high-impact roles in AI.

 Success Stories & Real Transformations

With my 20+ years of experience, I’ve helped over 200 professionals bridge the gap between theory and real-world AI applications.

Ready to Transform Your Career Like Godwin & Others?

 

Enroll NOW!

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)

 

  WEEK 2

   Start the Engine (Start of 1st End to End Project)
    1. 📋 Assignment Week 1 - Apply Your Skills in Data Understanding & EDA (HANDS-ON)
    2. ✍️Personal Feedback on Assignment

 

  WEEK 3

   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)

 

  WEEK 4

   AI Solution Engineered
    1. 📋 Assignment Week 2: Apply Your Skills in Data Preparation, Feature Engineering, and Modeling  (HANDS-ON)
    2. ✍️Personal feedback on Assignment
    3. 💬 Q&A Live Session

 

  WEEK 5

   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)

 

  WEEK 6

   AI Solution Advance
    1. 📋 Assignment Week 3: Ensemble Classification - Deep Learning Oversampling with SMOTE, ADASYN, and CTGANs, and Hyperparameter Tuning
    2. ✍️Personal feedback on Assignment 

 

  WEEK 7

   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)

 

  WEEK 8

   AI Solution Ultimate
    1. 📋 Assignment Week 4 - Unsupervised Learning, Deep Learning, Explainability, Fairness, Pipeline and Deployment (HANDS-ON)
    2. ✍️Personal feedback on Assignment 
    3. 💬 Q&A Live Session

 

YOU MASTER:

 

✔️Mastery of a 10-Step AI Framework:

Manage AI projects end-to-end.
 

✔️ Advanced Feature Engineering:

Hands-on experience with feature scaling, encoding, extraction, and selection to maximize predictive accuracy.
 

✔️Comprehensive Model Evaluation: 

Expertise in comparing and selecting the best models by assessing performance metrics (e.g., accuracy, precision, recall, F1 score, AUC-ROC).

✔️Strong Foundations in Data Science and AI:

Understanding the distinctions between AI, Machine Learning, Deep Learning, and Data Science.

✔️Hands-On Practical Skills:

Real-world project implementation focused on data setup, feature engineering, and model evaluation using tools like Google Colab.

✔️Machine Learning and Deep Learning Expertise:

  • Proficiency in supervised learning (classification and regression) and unsupervised learning (clustering, anomaly detection).
  • Practical knowledge of popular ML algorithms: Naive Bayes, Logistic Regression, Decision Trees, Random Forest, Gradient Boosting, and XGBoost.
  • Mastery of deep learning concepts and hyperparameter tuning for neural networks. 

 

✔️ Handling Imbalanced Data:

Practical experience with imbalanced data techniques like SMOTE, ADASYN, and advanced methods like CTGANs for synthetic data generation.

 

✔️Advanced Hyperparameter Tuning:

Applying cutting-edge optimization techniques, such as Bayesian Optimization and Tree-structured Parzen Estimators, to fine-tune models.

✔️AI Explainability:

Implementing explainability methods (e.g., SHAP values) to enhance transparency and trust in AI decisions.

 

✔️AI Fairness:


Ensuring ethical AI by applying fairness frameworks (e.g., FairLearn library) to mitigate bias in AI models.

 

✔️Deployment and Full AI Pipeline Development:

Building complete AI pipelines and deploying them using interactive tools like Streamlit to create functional and accessible AI applications.

 

✔️Strategic Thinking, Critical Thinking and Problem-Solving in AI:

  •  Strengthened abilities to understand business problems, align AI solutions with organizational goals, and communicate AI insights effectively to non-technical stakeholders.
  • A systematic approach to tackling complex business challenges using AI methodologies, ensuring participants can deliver impactful solutions.

 

✔️Autonomy and Leadership in AI Projects:

Gaining confidence to lead AI initiatives, define objectives, execute models, and deploy solutions while ensuring explainability and fairness.

Enroll NOW!
 

Watch Godwin's Journey: How He Landed a Top AI Job After Completing AI Solution Mastery

 

Takeaways:

  1. Discover how Godwin broke into AI after facing rejection due to "lack of experience."
  2.  Godwin shares how putting in the work and asking the right questions made all the difference.
  3. Learn how handling real, messy data during the course helped Godwin ace his job interview.
  4. Hear how the personal touch and weekly discussions propelled Godwin’s confidence and success.

Start Learning Immediately

No Waiting Required

 

》Start the program at any Week you want

    • Enjoy immediate access to lesson materials upon enrollment.
    • Follow the Program in your Learning Environment
    • Learn at your own pace each week
    • Ask your questions directly to Maryam and get answer it same day
    • Get Personalized Feedback and Mentorship on your Assignments sent directly to your e-mail

FAQ.

 

AI Solutions Mastery

---with Mentorship---

 

đź’Ą Limited-Time 50% Discount!đź’Ą

_____________________________________

✔️Mastery of a 10-Step AI Framework

✔️ Advanced Feature Engineering

✔️Comprehensive Model Evaluation

✔️Strong Foundations in Data Science and AI

✔️Hands-On Practical Skills

✔️Machine Learning and Deep Learning Expertise

✔️ Handling Imbalanced Data

✔️Advanced Hyperparameter Tuning

✔️AI Explainability

✔️AI Fairness

✔️Deployment and Full AI Pipeline Development

✔️Strategic Thinking, Critical Thinking and Problem-Solving in AI 

✔️Autonomy and Leadership in AI Projects

_____________________________________

  • 🔑 37 Pre-Recorded Lessons
  • ✍️Personalized Feedback
  • ⌛ 8-Weeks Program

  • 🎯 End to End Real-World Projects

  • 👨‍💻Unlimited Access to FULL Python CODE
  • 💬 Private Community Access
  •  🗣️2 X Live Q&A (Optional)
  • 📜 Completion Certificate

 

 

$5000 Now: $2500

❊ Offer Ends Soon – Save $2500 Today!

 

ENROLL TODAY

 

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