No-CodeAI: DataScience for the Business User
Learn Data Science as a business user using No-Code AI by solving real business problems in 100 days.
This course offers:
Module 1: Solid Data Science Foundation in simple English with Zero coding requirement. Learn Machine Learning, Deep Learning, and meaning of advanced models like GPT-3 and BERT.
Module 2: Learn a Data Science sprint to take a business problem to convert to a problem statement using Sudha Jamthe's 4 P framework using a real business dataset and business owner.
Module 3: Live Lab: Learn to build a Machine Learning model using No Code AI platforms and compare between two platforms.
The students will be taught in weekly LIVE classes to get a the foundation of AI and Datascience and what does it take to define a problem statement from a business problem.
The students will be guided on LIVE labs and offered guidance to build out real AI models to solve business problems all using ZERO coding using No-Code AI.
All students will work in small cohorts of a multi-disciplinary learning teams of 10 or less.
Every student who signs up as part of the AI Community will get a personalized learning plan so they can learn at their own pace.
The labs will repeat after each batch so students in the AI Community who need more time can come back and take the LIVE labs again till they are comfortable to build AI Models on their own with total confidence.
Mentors will support the students 1:1 as part of the AI Community all year long.
This course is available as a bundle option with LiveLab: Machine Learning MasterClass with Julien Carbonnell which builds on this course to teach students to learn Machine Learning using a Google Colab.
Free PreviewLet Us Talk to An AI (Free Live class exercise)
Free PreviewIntro to Data Science and Foundation Models - BERT, GPT-3 and TRANSFORMERS (pre-class)
StartData Science Foundation for Business Users - Supervised Learning Machine Learning Models
StartAlgorithms - Supervised vs Unsupervised Learning
StartIntroduction to Deep Learning (Understanding Neural Networks)
StartLive class session 3: Framing the Autonomous Delivery Business Problem Class Breakout sessions
StartLive class session 4: Teams Business Presentation to Kiwibot Business's DataScientist (85:36)
StartLive class session 4: Class Review of Learning from Business Case Presentation to Kiwibot's Data Scientist (26:05)
StartLive class session 5: Nov 3 Getting to 4P City vs University Part 1 (47:54)
StartLive class session 5: Nov 3 Getting to 4P City vs University Part 2 (31:17)
StartLive class session 6: Nov 10 Getting from 4P to Feature Engineering Data for University Scaling Business Problem. (58:56)