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For Data Scientists, PhDs, Engineers, and Professionals

Move Beyond AI Theory

Master Real-World Applications and Transition into High-Impact Roles in 4 Weeks

So you can Gain Hands-On AI Experience and Learn From an Industry Expert with Over 20 Years of AI Knowledge.

 

WatchĀ the above short video to learn how thisĀ Training can help you master AI and land high-impact roles.

Does This Sound Like You?

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

āœ” You've taken multiple courses, yet you still donā€™t feel job-ready for AI roles.

āœ” Youā€™re frustrated with theoretical knowledge that doesnā€™t translate into practical skills.

āœ” Despite your efforts, youā€™re struggling to land high-impact roles in AI.

āœ” You feel stuck, unsure how to move beyond just learning AI concepts to mastering them.

Youā€™re not aloneā€¦

With my 20+ years of experience, Iā€™ve helped over 200 professionals bridge the gap between theory and real-world AI applications. My hands-on training is designed to give you the practical skills and confidence to land those high-impact roles, just like my students before you.

Ā Success Stories & Real Transformations

Ready to Transform Your Career Like Godwin & Others?

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Join the AI Solution Mastery Program Today

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

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Takeaways:

  1. Struggling with job rejections despite having a PhD? Discover how Godwin broke into AI after facing rejection due to "lack of experience."
  2. Why dedication trumps certification: Godwin shares how putting in the work and asking the right questions made all the difference.
  3. Real-world AI vs. perfect datasets: Learn how handling real, messy data during the course helped Godwin ace his postdoc interview.
  4. The mentor that changes everything: Hear how the personal touch and weekly discussions propelled Godwinā€™s confidence and success.
 

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THIS IS FOR YOU

If you are:

šŸ‘¤Ā Professionals looking to upskill in AI and machine learning

šŸ‘¤Ā Data scientists / AI Engineers wanting to specialize in end-to-end AI solutions

šŸ‘¤Ā Engineers or developers who need hands-on experience with AI

šŸ‘¤Ā Individuals or organizations needing practical AI implementation skills

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YOU WILL LEARN:

  • Business Understanding: Analyze real-world problems for effective AI solutions.
  • Data Understanding & EDA: Perform data cleaning, visualization, and exploratory analysis with Pandas, Matplotlib, Seaborn and NetworkX.
  • Data Preparation: Prepare raw data for modeling, ensuring high-quality inputs.
  • Feature Engineering: Implement advanced techniques to extract valuable features.
  • Modeling: Build AI models including XGBoost, Deep Learning with TensorFlow/Keras, and Unsupervised Learning (Clustering, Anomaly Detection).
  • Model Tuning: Optimize performance through hyperparameter tuning (Hyperopt).
  • Model Evaluation: Compare models using key metrics (AUCPR) to select the best one.
  • AI Fairness & Explainability: Ensure fairness with FairLearn and explain decisions with SHAP.
  • Deployment: Develop web apps for model deployment (Streamlit).

YOU WILL GET:

  • Unlimited Access to Pre-recorded Videos (incl. Updates)
  • Private Community of Peers
  • 2 x 1-hour Live Interactive Q&A with Maryam
  • Weekly Hands-On Assignments
  • Unlimited Access toĀ FULL Python CODE
  • Completion Certificate
  • Real-world Complex End to End Project (Capstone Project)

MY EXPERIENCE

Maryam'sĀ 20+ Years in AI

  • PhD in AI - Machine Learning & Deep Learning
  • Specialized in Computer Vision & NLP/LLMs
  • Best European Researcher in Future VisionĀ 
  • 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

YOUR PROGRAM

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Ā  WEEK 1

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

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Ā  WEEK 2

Ā  Ā AI SolutionĀ Engineered
    1. šŸŽ„Ā Introduction to Week 2 - Data Prep - Feature Engineering - Modelling
    2. šŸŽ„Ā Why Data Preparation and Feature Engineering
    3. šŸŽ„Ā Why Modelling? Which Models? Model Evaluation Method
    4. šŸŽ„Ā ScikitLearn Library - the Golden SourceĀ Ā (HANDS-ON)
    5. šŸŽ„Ā Data Preparation: Setup Unique IDs and Stratified Test SetĀ Ā (HANDS-ON)
    6. šŸŽ„Ā Data Preparation: Feature TransformationĀ Ā (HANDS-ON)
    7. šŸŽ„Ā Feature EngineeringĀ Ā (HANDS-ON)
    8. šŸŽ„Ā ModellingĀ Ā (HANDS-ON)
    9. šŸ“‹Ā Assignment Week 2: Apply Your Skills in Data Preparation, Feature Engineering, and ModelingĀ Ā (HANDS-ON)
    10. šŸ’¬Ā Q&A Live Session

Ā 

Ā  WEEK 3

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

Ā 

Ā  WEEK 4

Ā  Ā AI SolutionĀ Ultimate
    1. šŸŽ„Ā Introduction to ML Algorithms - Distance Similarity - KNN - Clustering - Anomaly Detection
    2. šŸŽ„Ā Introduction to AI Explainability - Global vs Local Explainability - SHAP Values
    3. šŸŽ„Ā Introduction to AI Fairness for Classification with Tabular Data - FairLearn Library
    4. šŸŽ„Ā Final Model Selection - Deep Learning Ensemble Model Selection Hyperparameter TuningĀ (HANDS-ON)
    5. šŸŽ„Ā Model Selection - Unsupervised Learning Anomaly Detection Dimensionality ReductionĀ (HANDS-ON)
    6. šŸŽ„Ā AI Explainability - Global vs Local Explainability - SHAP ValuesĀ (HANDS-ON)
    7. šŸŽ„Ā Hands-on AI Fairness with FairLearnĀ (HANDS-ON)
    8. šŸ“‹Ā Instruction to Install StreamlitĀ (HANDS-ON)
    9. šŸŽ„Ā Workshop on Streamlit - Web Application Library for DeploymentĀ (HANDS-ON)
    10. šŸŽ„Ā Complete Pipeline and Deployment with StreamlitĀ (HANDS-ON)
    11. šŸ“‹Ā Assignment Week 4 - Unsupervised Learning, Deep Learning, Explainability, Fairness, Pipeline and DeploymentĀ (HANDS-ON)
    12. šŸ’¬Ā Q&A Live Session

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Choose Your Path to AI Mastery

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AI Solutions Mastery

Self Paced

_____________________________________

āœ” Course Material Access
āœ” 1 x Real-World Project

_____________________________________

PRICE (excl. 21% VAT):

ā‚¬995

_____________________________________

DURATION:

āŒ›4-Weeks

šŸ•’Total 12 hours Lessons

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Ā 

Ā Join 200+ Trained Students NOW

ENROLL TODAY

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AI Solutions Mastery

withĀ Mentorship

_____________________________________

āœ”ļø Community Access
āœ”ļø Personalized Feedback
āœ”ļøĀ Live Q&A / Coaching Calls
āœ”ļøĀ CompletionĀ Certificate
āœ” Access Course MaterialĀ 
āœ” Real-World Project

_____________________________________

PRICE (excl. 21% VAT):

ā‚¬1995

_____________________________________

DURATION:

āŒ›5-Weeks

šŸ•’Total 14 hours Lessons

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Ā Ā Join 200+ Trained Students NOW

ENROLL TODAY

Start Learning Immediately

No Waiting Required

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怋Flexible Start Dates & Continuous Support

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I understand the importance of flexibility. Hereā€™s how it works:

  • Self-Paced Track:

    • Get instant access to all lesson materials as soon as you enroll.
    • Learn at your own pace and progress on your own schedule.
    • Perfect for independent learners who want to dive in right away.
  • Mentorship Track:

    • Enjoy immediate access to lesson materials upon enrollment.
    • Get twice-monthly Q&A sessions with Maryam and join an exclusive community of learners.
    • Group your Q&A sessions with other students and receive personalized feedback on your real-world projects.

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Any Questions?

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