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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?
ā You have some experience in AI or Data Science, but real-world applications feel overwhelming.
ā You've taken multiple courses, yet you still donāt feel job-ready for AI roles.
ā Youāre frustrated with theoretical knowledge that doesnāt translate into practical skills.
ā Despite your efforts, youāre struggling to land high-impact roles in AI.
ā You feel stuck, unsure how to move beyond just learning AI concepts to mastering them.
Youāre not aloneā¦
With my 20+ years of experience, Iāve 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
Watch Godwin's Journey: How He Landed a Top AI Job After Completing AI Solution Mastery
Ā
Takeaways:
- Struggling with job rejections despite having a PhD? Discover how Godwin broke into AI after facing rejection due to "lack of experience."
- Why dedication trumps certification: Godwin shares how putting in the work and asking the right questions made all the difference.
- Real-world AI vs. perfect datasets: Learn how handling real, messy data during the course helped Godwin ace his postdoc interview.
- The mentor that changes everything: Hear how the personal touch and weekly discussions propelled Godwinās confidence and success.
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THIS IS FOR YOU
If you are:
š¤Ā Professionals looking to upskill in AI and machine learning
š¤Ā Data scientists / AI Engineers wanting to specialize in end-to-end AI solutions
š¤Ā Engineers or developers who need hands-on experience with AI
š¤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)
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- šĀ Get Started
- š„Ā Introduction to AI vs Machine Learning vs Deep Learning vs DS
- š„Ā Introduction to 10 Essential Steps of Data Science (Data Science Framework to 10X Your Performance)
- š„Ā Introduction to Business Understanding - Problem Understanding & Getting the Big Picture
- š„Ā Working With Real-World Data (HANDS-ON)
- š„Ā Data Understanding - Part 1: Setup and Data in Google ColabĀ (HANDS-ON)
- š„Ā Data Understanding - Part 2: Collect and Describe DataĀ (HANDS-ON)
- š„Ā Data Understanding - Part 3: Explore and Verify Data (HANDS-ON)
- šĀ Assignment Week 1 - Apply Your Skills in Data Understanding & EDAĀ (HANDS-ON)
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Ā WEEK 2
Ā Ā AI SolutionĀ Engineered
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- š„Ā Introduction to Week 2 - Data Prep - Feature Engineering - Modelling
- š„Ā Why Data Preparation and Feature Engineering
- š„Ā Why Modelling? Which Models? Model Evaluation Method
- š„Ā ScikitLearn Library - the Golden SourceĀ Ā (HANDS-ON)
- š„Ā Data Preparation: Setup Unique IDs and Stratified Test SetĀ Ā (HANDS-ON)
- š„Ā Data Preparation: Feature TransformationĀ Ā (HANDS-ON)
- š„Ā Feature EngineeringĀ Ā (HANDS-ON)
- š„Ā ModellingĀ Ā (HANDS-ON)
- šĀ Assignment Week 2: Apply Your Skills in Data Preparation, Feature Engineering, and ModelingĀ Ā (HANDS-ON)
- š¬Ā Q&A Live Session
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Ā WEEK 3
Ā Ā AI SolutionĀ Advance
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- š„Ā Modelling - Supervised Learning - Classification - Regression
- š„Ā Introduction to Classification Metrics
- š„Ā ML Algorithms - Naive Bayes - Logistic Regression
- š„Ā ML Algorithms - Tree - Ensemble - Gradient Descent - RandomForest - Gradient Boosting
- š„Ā Solutions to Imbalanced Data - Part I - SMOTE - ADASYN
- š„Ā Introduction to Deep Learning and Its Concepts
- š„Ā Solutions to Imbalanced Data - Part II - GANs and Oversampling with CTGANs
- š„Ā Hyperparameter Tuning
- š„Ā Hyperparameter Tuning Using Bayesian and Tree-structured Parzen Estimators
- š„Ā XGBoost Hyperparameters
- š„Ā Supervised Classification XGBoost Deep Learning Hyperparameter Tuning CTGANsĀ (HANDS-ON)
- šĀ Assignment Week 3: Ensemble Classification - Deep Learning Oversampling with SMOTE, ADASYN, and CTGANs, and Hyperparameter Tuning
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Ā WEEK 4
Ā Ā AI SolutionĀ Ultimate
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- š„Ā Introduction to ML Algorithms - Distance Similarity - KNN - Clustering - Anomaly Detection
- š„Ā Introduction to AI Explainability - Global vs Local Explainability - SHAP Values
- š„Ā Introduction to AI Fairness for Classification with Tabular Data - FairLearn Library
- š„Ā Final Model Selection - Deep Learning Ensemble Model Selection Hyperparameter TuningĀ (HANDS-ON)
- š„Ā Model Selection - Unsupervised Learning Anomaly Detection Dimensionality ReductionĀ (HANDS-ON)
- š„Ā AI Explainability - Global vs Local Explainability - SHAP ValuesĀ (HANDS-ON)
- š„Ā Hands-on AI Fairness with FairLearnĀ (HANDS-ON)
- šĀ Instruction to Install StreamlitĀ (HANDS-ON)
- š„Ā Workshop on Streamlit - Web Application Library for DeploymentĀ (HANDS-ON)
- š„Ā Complete Pipeline and Deployment with StreamlitĀ (HANDS-ON)
- šĀ Assignment Week 4 - Unsupervised Learning, Deep Learning, Explainability, Fairness, Pipeline and DeploymentĀ (HANDS-ON)
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š¬Ā Q&A Live Session
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Choose Your Path to AI Mastery
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AI Solutions Mastery
Self Paced
_____________________________________
ā Course Material Access
ā 1 x Real-World Project
_____________________________________
PRICE (excl. 21% VAT):
ā¬995
_____________________________________
DURATION:
ā4-Weeks
šTotal 12 hours Lessons
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Ā
Ā
Ā Join 200+ Trained Students NOW
ENROLL TODAYĀ
AI Solutions Mastery
withĀ Mentorship
_____________________________________
āļø Community Access
āļø Personalized Feedback
āļøĀ Live Q&A / Coaching Calls
āļøĀ CompletionĀ Certificate
ā Access Course MaterialĀ
ā Real-World Project
_____________________________________
PRICE (excl. 21% VAT):
ā¬1995
_____________________________________
DURATION:
ā5-Weeks
šTotal 14 hours Lessons
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Ā Ā Join 200+ Trained Students NOW
ENROLL TODAYStart Learning Immediately
No Waiting Required
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ćFlexible Start Dates & Continuous Support
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I understand the importance of flexibility. Hereās how it works:
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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.
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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.