AI Solutions Mastery
AI Practitioner
Build a Real-World AI Product
in 4 Weeks
Become a Unicorn with Future-Proof Skills
By Going from Problem to Product
Do you find it Challenging to Apply AI and data science knowledge to real-world scenarios?
Are you Overwhelmed by the Vast amount of AI resources, Unsure where to Start or how to Progress effectively?
Enroll now to Master Translating Business Problems into Complete AI Solutions more efficiently in 4 Weeks.
- Understand your Business / Data
- Build your AI Base Model
- Enhance and Engineer your AI Model
- Build a Complete AI Product
Level: Intermediate to Advanced
Start Date: 1 June, 2024
Duration: 4-Weeks
Certificate: Yes
Price (excl. 21% VAT):
€1487
Cancellation: 7-Days (Up to 20 May)
YOU WILL LEARN
Roadmap
- Analyze a Real-world complex problem and outline how data can address its questions.
- Perform initial data cleaning on a provided dataset.
- Build a base AI model using provided data, apply cross-validation, and prepare a presentation of your results aimed at a business audience.
- Enhance your model with advanced features and tuning, implement robust cross-validation, and update your business presentation with advanced visualizations.
- Compare multiple models and select the best performer.
- Develop a web application for your chosen model, focusing on user interface and experience.
Techniques
With this comprehensive training, you'll master
- Supervised and Unsupervised Learning,
- Both Machine Learning and Deep Learning algorithms for real-world AI projects,
- Advanced Feature Engineering and Hyperparameter Tuning.
Coding / Environment
- Python Libraries: you will use Tensorflow, SHAP, XGBoost, Scikit-Learn, Hyperopt, Streamlit, Seaborn and more
- Environment you will work in Google Colab which provides free access to GPUs and TPUs
YOU WILL BE ABLE TO
01 Translate Business Problems into Analytical Questions
Avoiding later Disappointments or Lost Work.
02 Apply AI through real-world Projects that mimic Industry Challenges
Preparing you for the Job Market.
03 Utilize a Data Science Framework
Enabling you to Build AI Solutions more Efficiently.
04 Navigate the AI Resources
Identifying the most Effective Solutions.
05 Communicate technical insights in a way that non-technical stakeholders can understand and appreciate
Fostering better collaboration and informed decision-making.
IF YOU WANT TO ACHIEVE THESE THEN AI PRACTITIONER IS FOR YOU.
YOUR PROGRAM
Start Date: 1 June 2024
Duration: 4-Weeks
Including: Lectures / Q&A
Days: Tuesdays
Hours: 3-4 hours per week
WEEK 1
Start the Engine
-
Overview: Lay the Business and Data Foundation by understanding the business question and how data can provide answers. This week is about aligning data science with business objectives, understanding the data landscape, and preparing for the AI journey.
-
Key Topics:
-
Business Understanding: Deciphering the core questions businesses face.
-
Data Comprehension: Getting to know your data and its potential.
-
Initial Data Handling: Basics of data collection, cleaning, and preliminary analysis.
-
- Python Libraries:
- Pandas for data manipulation.
- NumPy for numerical operations.
- Matplotlib and Seaborn for data visualization.
- Pandas-profiling for automatic data reports.
WEEK 2
AI Solution Light
-
Overview: Build your Explainable Supervised AI model. This week is centered on feature creation, model building, k-fold cross-validation, model Evaluation, and Effectively Communicating Results to business stakeholders.
-
Key Topics:
-
Feature Engineering: Build your first model input.
-
Building Your First AI Model: Introduction to model selection and training.
-
Cross-Validation: Ensuring your model's reliability.
-
Model Evaluation and Interpretability: Effectively communicating results and understanding model decisions using SHAP values.
-
- Python Libraries:
- Scikit-learn for RandomForest and model evaluation metrics.
- XGBoost for efficient gradient boosting.
- SHAP to interpret model predictions and understand feature importance.
WEEK 3
AI Solution Engineered
-
Overview: Enhance your AI model with Deep Learning with advanced feature engineering, hyperparameter tuning, and introduction to Deep Learning.
-
Key Topics:
-
Advanced Feature Engineering: Techniques to improve model input.
-
Hyperparameter Tuning: Optimizing your model for better performance.
-
Introduction to Deep Neural Networks: Build deep NN using TensorFlow or Keras.
-
- Python Libraries:
- Feature-engine for feature engineering.
- Hyperopt for hyperparameter optimization.
- TensorFlow and Keras for building simple neural networks.
WEEK 4
AI Solution Complete
-
Overview: Learn Unsupervised Machine and Deep Learning and Build an AI Product. Expand model scope and transition from a model to a deployable web application, introducing anomaly detection techniques.
-
Key Topics:
- Model Comparison: Evaluate different models to identify the best fit.
- Anomaly Detection: Implement Isolation Forest and AutoEncoders for detecting outliers.
- Product Development: Convert your AI solution into a deployable web application.
- Python Libraries:
- Streamlit for creating interactive web applications.
- Scikit-learn for Isolation Forest.
- TensorFlow or Keras for building AutoEncoders.
TRAINING SUITS YOU BEST IF
Your Goal is Applying AI to solve real-world problems.
The training expects a foundational understanding of data science but is designed to elevate skills to a more advanced level.
This training is ideal for:
-
Aspiring Data Scientists
If you're at the start of your career and eager to dive into the world of data science and AI, this training will equip you with the foundational knowledge and hands-on skills you need to kickstart your journey.
-
Academics and Researchers
Those in academia or research-focused roles wishing to apply the latest data science methodologies to their work or contribute to the advancement of AI technologies.
YOU NEED TO KNOW
Your success is in your hands. The Training is here for you to build your path.
Foundational Knowledge
- Basic Understanding of Programming: Familiarity with Python is a must.
- Mathematics and Statistics Fundamentals: A grasp of high level mathematics, particularly in algebra and statistics, is essential.
Time Commitment
- Dedication and Time: This intensive 4-week training requires a commitment of 6 to 8 hours per week. This includes watching lectures, completing assignments, and participating in Q&A, workshops and discussions.
Mindset and Approach
- Curiosity and Willingness to Learn: The field of AI and data science is vast and constantly evolving. A curious mindset and an eagerness to learn and experiment with new concepts are key to making the most of this training.
- Collaboration and Communication: Be prepared to engage with your peers, share your insights, and collaborate on projects. Effective communication and teamwork are invaluable skills in the data science world.
ENROLL NOW
WHY JOIN?
The destination: You are not just data scientists in Title but in Practice
-
Initial Orientation and Assessment
A kickoff webinar to introduce the course structure, tools, and platforms we'll use, and assess individual goals and backgrounds to tailor guidance.
-
Weekly Structured Learning Modules
Each week focuses on a specific aspect of AI solution development, starting with understanding business questions and data (Week 1), building and evaluating base AI models (Week 2), enhancing those models with advanced techniques and chose a final model (Week 3), and finally, building a web app from your enhanced final model (Week 4).
-
Assignments
Practical assignments at the end of each weekly module to apply learning, culminating in a capstone project that encompasses all aspects of the training.
-
Continuous Support and Community Access
Ongoing support via a dedicated forum or group, where students can share insights, ask questions, and network with peers.
GET INSTANT ACCESS TO
AI Solutions Mastery
AI Practitioner
Date:
1 June - 29 June, 2024
Make Use of Early Bird Prices
Space is Limited to ensure Quality.
YOUR TRAINER
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.
ALSO INTERESTING FOR YOU
AI Practitioner Plus
You Learn to
- Build real-world AI Solutions using advanced techniques in both Supervised and Unsupervised Learning, utilizing cutting-edge Machine Learning and Deep Learning models.
You Receive
- 40 In-Depth Lessons
- Private Community of peers
- 2 x 1-hour Live Interactive Q&A with Maryam
- Weekly Hands-On Assignments
- Comprehensive Training Materials
- Completion Certificate
- Access to 60-page AI Toolkit Pro (€500 value)
Includes
-
Free Cancellation Up to 20 April
+ Your Capstone Project
- 1 x Real-world Complex End to End Project that you can showcase.
+ Your Personalization
- Personalized feedback on Weekly Assignments
LEVEL: Intermediate/Advanced
NEXT: 1 May 2024
DURATION: 5-Weeks
Price (excl. 21% VAT):
€1979
VIEW TRAINING
Any Questions?
Reach Out to me on LinkedIn
Press on LinkedIn Button or My Picture Below
