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Building a Career in AI
Date: 25th Sep 2023
Table of Contents
2
Difference between AI, ML &
Deep Learning
03
Salaries in AI 04
Skills to crack AI Interview 05
Tactical plan to clear AI Interview 06-07
AI Career in Challenging 08
Q&A 09
How is AI, ML and Deep Learning Different?
Differentiating these Technical Domains brings Clarity!
A program that tries to
mimic human behavior
ARTIFICIAL
INTELLIGENCE
Subset of AI using
statistical methods
MACHINE
LEARNING
Subset of ML learning
from large amount of data
DEEP
LEARNING
Salaries in AI
Ability to Solve Business Problems Independently using Technology Shoots Up Salaries
significantly!
AI Salaries in India
0
5
10
15
20
25
30
35
40
0-3 years 3-6 years 6-10 years 10-12 years 12+ years
INR
Lakhs
per
Annum
Years of Experience
AI Salary in INR Lakhs per Annum
AI Salaries in USA
105K USD for < 1
year experience
143K USD for 3-5
years experience
• INR 1 crore in 8 years experience
Top End Salaries
Average Salaries
300K USD in 8 years experience
Skills to crack AI Interview
Problem Solving and Strong Communication are critical along with Technical Skills
Role: ML Engineer Role: Data Scientist
Primary Technical Skill -
Programming
Secondary Technical Skill – Modeling
Problem Solving
Strong Communicator
Secondary Technical Skill - Programming
Primary Technical Skill – Modeling
Problem Solving
Strong Communicator
Plan to clear AI Interview
Strong in Technical Concepts & Demonstrate
Ability to Solve Problems with Technology
Strong in Programming Concepts
Strong in AI concepts
Problem Solver
• Live Demonstrations
• Capstone Project
Plan to clear AI Interview Continued
Purpose to learn New Technologies is to enhance our ability to solve Business Problems with
higher speed, and lower errors
During interview it should come out that 1st Priority is to solve business problem
Learn Latest AI Technologies
Show Problem Solving is 1st Priority
AI Career is Challenging
If leaning towards AI career, keep in mind that it would require dedication & persistence
More than a 9 – 5 job
Learn throughout your career
Value and Respect Data
Take responsibility and ownership
Ready to Ask Questions?
Appendix!
References
Serial
Number
Reference Short Description
1 Data Science Salaries in India – Complete Study 2022 By
Analytics India Magazine & HeroVired
2 Indeed - https://www.indeed.com/career/data-scientist/salaries
Thank you!

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AI Lecture in University (JK Lakshmipat University, India)

  • 1. Building a Career in AI Date: 25th Sep 2023
  • 2. Table of Contents 2 Difference between AI, ML & Deep Learning 03 Salaries in AI 04 Skills to crack AI Interview 05 Tactical plan to clear AI Interview 06-07 AI Career in Challenging 08 Q&A 09
  • 3. How is AI, ML and Deep Learning Different? Differentiating these Technical Domains brings Clarity! A program that tries to mimic human behavior ARTIFICIAL INTELLIGENCE Subset of AI using statistical methods MACHINE LEARNING Subset of ML learning from large amount of data DEEP LEARNING
  • 4. Salaries in AI Ability to Solve Business Problems Independently using Technology Shoots Up Salaries significantly! AI Salaries in India 0 5 10 15 20 25 30 35 40 0-3 years 3-6 years 6-10 years 10-12 years 12+ years INR Lakhs per Annum Years of Experience AI Salary in INR Lakhs per Annum AI Salaries in USA 105K USD for < 1 year experience 143K USD for 3-5 years experience • INR 1 crore in 8 years experience Top End Salaries Average Salaries 300K USD in 8 years experience
  • 5. Skills to crack AI Interview Problem Solving and Strong Communication are critical along with Technical Skills Role: ML Engineer Role: Data Scientist Primary Technical Skill - Programming Secondary Technical Skill – Modeling Problem Solving Strong Communicator Secondary Technical Skill - Programming Primary Technical Skill – Modeling Problem Solving Strong Communicator
  • 6. Plan to clear AI Interview Strong in Technical Concepts & Demonstrate Ability to Solve Problems with Technology Strong in Programming Concepts Strong in AI concepts Problem Solver • Live Demonstrations • Capstone Project
  • 7. Plan to clear AI Interview Continued Purpose to learn New Technologies is to enhance our ability to solve Business Problems with higher speed, and lower errors During interview it should come out that 1st Priority is to solve business problem Learn Latest AI Technologies Show Problem Solving is 1st Priority
  • 8. AI Career is Challenging If leaning towards AI career, keep in mind that it would require dedication & persistence More than a 9 – 5 job Learn throughout your career Value and Respect Data Take responsibility and ownership
  • 9. Ready to Ask Questions?
  • 11. References Serial Number Reference Short Description 1 Data Science Salaries in India – Complete Study 2022 By Analytics India Magazine & HeroVired 2 Indeed - https://www.indeed.com/career/data-scientist/salaries

Editor's Notes

  1. Agenda Slide - Complete 1. Team set-up – Org Chart. (Color needed) - Complete 2. Revenue Design 3. Progress slide - Complete 4. Model results Demo - Complete 5. Finance bridges 6. Data: FDS, Future,  7. SCF
  2. EU’s Directorate-General of Energy and Directorate-General of Environment are concerned about compliance on competition and environment laws Leading NGOs like Greenpeace and Friends of the Earth are concerned about compliance of Oil and Gas Contracts
  3. EU’s Directorate-General of Energy and Directorate-General of Environment are concerned about compliance on competition and environment laws Leading NGOs like Greenpeace and Friends of the Earth are concerned about compliance of Oil and Gas Contracts
  4. EU’s Directorate-General of Energy and Directorate-General of Environment are concerned about compliance on competition and environment laws Leading NGOs like Greenpeace and Friends of the Earth are concerned about compliance of Oil and Gas Contracts
  5. EU’s Directorate-General of Energy and Directorate-General of Environment are concerned about compliance on competition and environment laws Leading NGOs like Greenpeace and Friends of the Earth are concerned about compliance of Oil and Gas Contracts
  6. EU’s Directorate-General of Energy and Directorate-General of Environment are concerned about compliance on competition and environment laws Leading NGOs like Greenpeace and Friends of the Earth are concerned about compliance of Oil and Gas Contracts
  7. EU’s Directorate-General of Energy and Directorate-General of Environment are concerned about compliance on competition and environment laws Leading NGOs like Greenpeace and Friends of the Earth are concerned about compliance of Oil and Gas Contracts
  8. EU’s Directorate-General of Energy and Directorate-General of Environment are concerned about compliance on competition and environment laws Leading NGOs like Greenpeace and Friends of the Earth are concerned about compliance of Oil and Gas Contracts