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 on 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 04 Module 4 Realise the Power - The Foundation Capstone Project Learning the Language of AIML Applying AIML to solve real Revisiting essential Math/ Stat problems, learning the new way concepts of working 01 03 Module 2 Module 3 The AIML Expert The Deep Learning Edge Model selection, Feature MLP, CNN, Autoencoder, RNN, engineering, Classification, GAN, Reinforcement Learning, Unsupervised Learning, SVM, 02 NLP, Computer vision Optimisation techniques
Course timeline - 6 months course Week Week Week Week Week Week 1-4 5-8 9-14 15-16 17-20 21-24 The Deep Foundation The AIML Expert Learning Edge Realising the Power of AIML Industry Project- Model selection, MLP, CNN, Curated Projects Industry Project- Mathematical 1 Feature Autoencoder, 2 and Statistical engineering, RNN, GAN, foundation of Classification, Reinforcement AIML Unsupervised Learning, NLP, Learning, SVM, Computer vision Optimisation Mastering techniques Python
Course timeline - 3 months course Week Week Week Week 8 Week 1-2 3-4 5-7 9-12 The Deep Foundation The AIML Expert Learning Edge Realising the Power of AIML Industry Project- Model selection, MLP, CNN, Curated Projects Mathematical 1 Feature Autoencoder, and Statistical engineering, RNN, GAN, foundation of Classification, Reinforcement AIML Unsupervised Learning, NLP, Learning, SVM, Computer vision Optimisation Mastering techniques Python
Course timeline - 1 month course Week 1 Week 2 Week 3 Week 4 The Deep Realising the Foundation The AIML Expert Learning Edge Power of AIML Model selection, MLP, CNN, Curated Projects Mathematical Feature Autoencoder, and Statistical engineering, RNN, GAN, foundation of Classification, Reinforcement AIML Unsupervised Learning, NLP, Learning, SVM, Computer vision Optimisation Mastering techniques Python
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