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, Scikit-Learn, Hyperopt, Streamlit, Seaborn and more
• Environment you will work in Google Colab which provides free access to GPUs and TPUs 

TRAINING SUITS YOU BEST IF

Your Goal is Applying AI to solve real-world problems.

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.

• Technology Professionals

  Software engineers, analysts, and IT professionals looking to transition into data science roles or add AI expertise to their skillset will find this training invaluable for advancing their careers.

• Industry Specialists

  Professionals in fields such as finance, healthcare, marketing, and beyond, who seek to leverage data science and AI to enhance decision-making, operational efficiency, and innovation within their sectors.

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 simple AI models (Week 2), enhancing those models with advanced techniques (Week 3), and finally, applying models in a real-world business context as a product (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.

• Personalized, Expert Feedback

  Receive direct feedback on your work from expert in AI with 20+ years of experience, Maryam Miradi, ensuring you understand not just the 'how' but also the 'why' behind data science solutions.

• Practical, Project-Based Learning

   Dive deep into data science with real-world projects that challenge you to apply concepts in practical scenarios, from data cleaning to deploying AI models.

• Interactive, Immersive Workshops

   Benefit from live workshops that go beyond the basics into advanced topics, providing you with the skills to tackle current and future challenges in AI.

• Post-Training Personalized Workshop

   Besides weekly live Q&A sessions, students have access to a Post Training Workshops for personalized guidance, feedback, and to address any challenges you're facing.

• Continuous Support and Community Access

  Ongoing support via a dedicated forum or group, where students can share insights, ask questions, and network with peers.