Applied AI Essentials-Cohort2
Applied AI Essentials is a 5 week comprehensive course to enable beginners and intermediate data scientists to kick start their learning path with in-demand tools and techniques.
The second cohort starts on February 14, 2021.
Our “live” blended learning model is based on three core principles:
- Personalized and individualized coaching and guidance.
- Immersive learning with deepkapha.ai’s very own researchers, engineers and developers who work on real-world projects.
- Application based learning in our Hive Projects where you work with real-world data that puts your learning ready for the real world.
Want to know more then please click on the links below:
✔️ How can I benefit from this course?
✔️ What does a Learning Path with LiveAI look like?
What Will I Learn?
- Live sessions and office hours with Instructors
- Personalized grading and feedback
- Real-world projects with proprietary data
- Networking events with peer-learning
Topics for this course
Welcome to AAIE Cohort 2
Meet your instructors and mentors [live session]
What’s in it for you
LiveAI Learning path
Week 1 – Programming Basics
Foundations of AI – Tools to build your models
Knowledge check -Python basics-C2
Live session by Tarry Singh – Welcome to the world of AI
Approaching real world ML/DL Problems
Getting data ready for your ML/DL Problems
Getting started with ML/DL libraries
Working on your first Machine Learning problem
Knowledge check -Python for the win-e! C2
Week 1 Weekend project
Getting started with Github [OPTIONAL]
Week 2 – Building your first Machine Learning Solution
Introduction to Machine Learning
Introduction to Statistics & Probability
Getting started with Regression models, Bias and Variance
Live session by Tarry Singh – Essentials of building an end-to-end Machine Learning solution from scratch
Knowledge check -Bias, Variance and Machine Learning
Getting started with Classification models
Getting started with Unsupervised learning
Knowledge check -Supervised and Unsupervised
Introduction to web frameworks
Week 2 Weekend project
Deploying_web_apps_to_web _servers [OPTIONAL]
Introduction to_Reinforcement_Learning [OPTIONAL]
Week 3 – Deep Dive in Deep Learning
Introduction to Deep Learning
Building your first Deep Learning model
Live session by Tarry Singh – Essentials of building an AI model and Transfer Learning
Introduction to Convolutional Neural Networks
Knowledge Check -Convolutional Neural Networks
Convolutional Neural Networks – hands- on implementation
Knowledge check -Convolutional Neural Network Implementation
Introduction to Language Models
Knowledge Check -Recurrent Neural Network
Knowledge Check -Language models
Week 3 Weekend project
Machine Learning Project Management [OPTIONAL]
Machine Learning Model Operationalization Management (MLOps) [OPTIONAL]
Week 4 & 5- The HIVE Projects
Introduction to Hive Projects
Choosing your Hive project
HIVE Statement of Work
Apply for completion
Closing ceremony with LiveAI team
Recorded [LIVE] Sessions
All recorded sessions relevant to this cohort can be accessed here.