Machine Learning Survival Kit for Future Death of New Jobs Only - - PowerPoint PPT Presentation

Artificial Intelligence and Machine Learning

Survival Kit for Future

Death of New Jobs

Only 5.5 million jobs are created When 17 million enter workforce each year For 60,000 Railways jobs 19 million applications

Decoupling of Growth and Jobs

Economic growth is not helping any longer 10% growth in GDP results in 1% growth in jobs

Service Sector Creating Fewer Jobs

Banking and IT job growth are in continuous decline Automation and AI likely to accelerate the trend

On the other hand

• AI and Machine Learning have the potential to create an

additional $2.6T in value by 2020 in Marketing and Sales and up to $2T in manufacturing and supply chain planning - McKinsey

• Worldwide spending on cognitive and Artificial Intelligence

systems will reach $77.6 B in 2022 – IDC

• Global ML market to grow from $1.58 B to $20.83 B in 2024 -

Zion Market Research

• Revenue from AI to grow from $9.5 B to $118.6 B in 2025 -

Adobe

AIML Jobs not getting filled

• Between 2015-18 ML job postings grew by 334%
• About 40% of India’s total workforce has to be reskilled over

the next five years in using AI, IoT, Machine Learning and Blockchain – Nasscom

• 50,000+ Data Science and ML jobs are vacant due to lack of

qualified talent - Economic Times

• At least 133 million new roles to be generated because of new

technologies - World Economic Forum

• 756,000 unfilled jobs expected in ICT sector in EU - European

Commission

• China alone needs 5 million AI workers in next five years

XpertBridge AIML course fills this gap

➔ Readiness for the real world

Participants not only learn but get to apply AIML concepts and models to solve real life problems taken from different industries

➔ Live projects at the core

AIML concepts can be learnt from openly available courses. XpertBridge focuses on learning through live projects and curated experiments.

➔ Learn from Practitioners

Provides opportunity to learn from practitioners who have applied Artificial Intelligence and Machine Learning in the industry and business. People learn the practical aspects and become ready for being absorbed in the industry.

XperBridge courses

• n

Artificial Intelligence and Machine Learning

The survival kit for future

What is Artificial Intelligence

Artificial Intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Artificial Intelligence and Machine Learning is business need, no longer a competitive advantage.

What is Machine Learning

Machine Learning is the automatic process of discovering hidden insights in data fabric using algorithms that are able to find those insights without being specifically programmed for that, to create models that solves a particular, or multiple problem (s). Artificial Intelligence and Machine Learning is business need, no longer a competitive advantage.

Course objective

To prepare AIML experts ready to solve industry problems and create Artificial Intelligence and Machine Learning enabled applications. Make India into a leading force in AIML space over the next decade.

9 Layers of Machine Learning

Our courses would cover Layers 4 yo 9 Three aspects would be covered - 1. Theory

• 2. Technology
• 3. Application

for making Industry- ready professionals

Three Layers of in-depth Learning 01

Theory

Understanding Concepts through Reading Material/ Videos/ Virtual Assistant Deep Dive in Classroom sessions

02

Technology

Exercises Experiments - Lab sessions

03

Application

Curated Projects Live Industry Projects

Learning Support System

1. Reading material compiled by leading experts 2. Best collection of video from across the globe 3. Customised videos from academia and industry experts 4. All presentations used in the course accessible to students 5. Learning support for six months after end of course 6. Access to World class Learning Management System for one year

Project Support System

1. In Lab guidance on application of concepts and models 2. Online guidance sessions 3. Concept and Project Review sessions with Leading Global Experts - online 4. Interaction with Industry Leaders 5. Wide range of projects for solving real life problems 6. Option to participate in projects even after completion of course - continuous learning as XpertBridge alumnus

Course Modules

Module 1

Foundation Learning the Language of AIML Revisiting essential Math/ Stat concepts

Module 2

The AIML Expert Model selection, Feature engineering, Classification, Unsupervised Learning, SVM, Optimisation techniques

Module 4

Realise the Power - The Capstone Project Applying AIML to solve real problems, learning the new way

• f working

Module 3

The Deep Learning Edge MLP, CNN, Autoencoder, RNN, GAN, Reinforcement Learning, NLP, Computer vision

01 02 03 04

Course timeline - 6 months course

Week 1-4

Foundation Mathematical and Statistical foundation of AIML Mastering Python

Week 5-8

The AIML Expert Model selection, Feature engineering, Classification, Unsupervised Learning, SVM, Optimisation techniques

Week 9-14

The Deep Learning Edge MLP, CNN, Autoencoder, RNN, GAN, Reinforcement Learning, NLP, Computer vision

Week 15-16

Realising the Power of AIML Curated Projects

Week 17-20 Week 21-24

Industry Project- 1 Industry Project- 2

Course timeline - 3 months course

Week 1-2

Foundation Mathematical and Statistical foundation of AIML Mastering Python

Week 3-4

The AIML Expert Model selection, Feature engineering, Classification, Unsupervised Learning, SVM, Optimisation techniques

Week 5-7

The Deep Learning Edge MLP, CNN, Autoencoder, RNN, GAN, Reinforcement Learning, NLP, Computer vision

Week 8

Realising the Power of AIML Curated Projects

Week 9-12

Industry Project- 1

Course timeline - 1 month course

Week 1

Foundation Mathematical and Statistical foundation of AIML Mastering Python

Week 2

The AIML Expert Model selection, Feature engineering, Classification, Unsupervised Learning, SVM, Optimisation techniques

Week 3

The Deep Learning Edge MLP, CNN, Autoencoder, RNN, GAN, Reinforcement Learning, NLP, Computer vision

Week 4

Realising the Power of AIML Curated Projects

Thank you!