Applied AI Essentials

About Course

44Applied 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 cohort starts soon. Apply now to reserve seat!

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?

Course Content

Program Overview

Welcome to AAIE Cohort 3
Meet your instructors and mentors [live session]
Course Overview
What’s in it for you
LiveAI Learning path
Course logistics

Week 1 – Programming Basics

Introduction
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
SQL Fundamentals[OPTIONAL]-C2
Getting started with Github [OPTIONAL]
Resources

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]
Resources_C2_Cohort

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
Advanced_language_models-C2
Knowledge Check -Language models
Week 3 Weekend project
Machine Learning Project Management [OPTIONAL]
Machine Learning Model Operationalization Management (MLOps) [OPTIONAL]
Resources

Week 4 & 5- The HIVE Projects

Recorded [LIVE] Sessions
All recorded sessions relevant to this cohort can be accessed here.

Student Ratings & Reviews

No Review Yet

About Course

✔️ How can I benefit from this course?

✔️ What does a Learning Path with LiveAI look like?

What Will You Learn?

Course Content

Program Overview

Welcome to AAIE Cohort 3

Meet your instructors and mentors [live session]

Course Overview

What’s in it for you

LiveAI Learning path

Course logistics

Week 1 – Programming Basics

Introduction

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

SQL Fundamentals[OPTIONAL]-C2

Getting started with Github [OPTIONAL]

Resources

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]

Resources_C2_Cohort

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

Advanced_language_models-C2

Knowledge Check -Language models

Week 3 Weekend project

Machine Learning Project Management [OPTIONAL]

Machine Learning Model Operationalization Management (MLOps) [OPTIONAL]

Resources

Week 4 & 5- The HIVE Projects

Introduction to Hive Projects

HIVE Statement of Work

Choosing your Hive project

Apply for completion

Closing ceremony with LiveAI team

Recorded [LIVE] Sessions All recorded sessions relevant to this cohort can be accessed here.

Student Ratings & Reviews

Recorded [LIVE] Sessions
All recorded sessions relevant to this cohort can be accessed here.