21 Most in demand AI Skills for Programmers in 2023/2024
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21 Most in demand AI Skills for Programmers in 2023/2024

Muhammad Yasir Khan Muhammad Yasir Khan

Muhammad Yasir Khan

Head of Infrastructure at Qatar Gas Transport Company | Results-oriented leader with proven track record of success | 20+ years of experience | Expertise IT Strategy, Project Management & Infrastructure

发布日期: 2023年10月3日
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In the ever-evolving landscape of technology, staying ahead of the curve is crucial for programmers and developers. In 2023 and beyond, artificial intelligence (AI) continues to be at the forefront of innovation, driving advancements in various industries. Whether you're a seasoned AI enthusiast or just starting to explore the world of machine learning, understanding the most in-demand AI skills is essential for your career growth.

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In this blog post, I'll delve into the 21 most sought-after AI skills, ranging from the fundamental to the cutting-edge, that can help you thrive in the dynamic field of AI programming in 2023 and beyond.

Easy:

  • AI for Business:?Python (scikit-learn, TensorFlow), R (caret)
  • Cloud Computing for AI:?Google Cloud Platform (AI Platform), Amazon Web Services (SageMaker), Microsoft Azure (Azure AI Studio)
  • Machine Learning programming:?Python (Scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)
  • Data Science:?Python (Pandas, NumPy, Matplotlib), R (dplyr, ggplot2)
  • Natural Language processing (NLP):?Python (spaCy, NLTK), R (tidytext)
  • Computer Vision:?Python (OpenCV, TensorFlow, PyTorch), R (EBImage)
  • Machine Learning Model Deployment:?Python (Flask, Heroku), R (Shiny)
  • Data Visualization:?Python (Plotly, Seaborn), R (ggplot2)

Moderate:

  • Deep Learning:?Python (TensorFlow, PyTorch), R (keras)
  • Reinforcement Learning:?Python (TensorFlow, PyTorch), R (RLlib)
  • Computer Architecture for AI:?NVIDIA cuDNN, TensorFlow TPUs, Google Cloud TPUs
  • AI for Healthcare:?Python (scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)
  • AI for Finance:?Python (scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)
  • AI for Manufacturing:?Python (scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)
  • AI for Logistics:?Python (scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)
  • AI for Marketing:?Python (scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)

领英推荐

Hard:

  • AI Research:?Python (TensorFlow, PyTorch), R (keras), C++, Java
  • AI Safety:?Python (scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)
  • AI for Social Good:?Python (scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)
  • AI for Climate Change:?Python (scikit-learn, TensorFlow, PyTorch), R (caret, tidymodels)
  • AI for Quantum Computing:?Python (TensorFlow Quantum), C++, Java

?As we look ahead to 2024 and beyond, it's evident that AI will remain a driving force behind technological progress. Keeping up with the rapidly changing landscape of AI is both exciting and challenging, but by acquiring and honing the skills mentioned in this list, you'll position yourself as a sought-after AI programmer.

?Whether you choose to master the fundamental building blocks or dive into the intricacies of advanced techniques, your commitment to learning and adapting will be your greatest asset.

So, embrace these in-demand AI skills, stay curious, and continue exploring the endless possibilities that AI offers, as you embark on a successful and fulfilling career in the world of artificial intelligence.

Desclaimer:

Easy, Moderate, and Hard are subjective to each and every individual. Just take it as indicative of the progression, allowing you to chart your own learning journey based on your interests, aptitude, and career aspirations.

Muhammad Yasir Khan

Head of Infrastructure at Qatar Gas Transport Company | Results-oriented leader with proven track record of success | 20+ years of experience | Expertise IT Strategy, Project Management & Infrastructure

1 年

Some comments from another professional: In R, there is a group of libraries called tidyverse, which includes Tidyr, dplyr and ggplot2. I don't see Keras used in R, but Torch can be used. Torch in R is the same as Pytorch in python. OpenCV is used for computer vision. As I am intersted in forecasting, financial institues use R and python for forecasting, in R there are many packages like forecast, modeltime. forecasting in Python will be like skforecast , prophet, and darts. Thanks a ton @Mohamed Ali Hefnawi https://www.dhirubhai.net/in/mohamed-ali-hefnawy-86284b19

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Rashid Javed

SAP ABAP / Workflow / EHSM

1 年

Brilliant article, I would love to see an expanded version of it with more detail and sample use cases for each of the bullet points mentioned under easy, medium and hard.? And the libraries mentioned are still relevant and a must learn for any developer, we should also mention the elephant in the room i.e. LLMs.? As a tool, it can significantly reduce your data processing time and efforts.

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Muhammad Yasir Khan

Head of Infrastructure at Qatar Gas Transport Company | Results-oriented leader with proven track record of success | 20+ years of experience | Expertise IT Strategy, Project Management & Infrastructure

1 年

Important Articles for CIOs and aspiring CIOs: Robust AI Strategy from Plan to Execution - A Guide for CIOs https://www.dhirubhai.net/pulse/robust-ai-strategy-from-plan-execution-guide-cios-khan Gen AI Adaption: Where you stand? https://www.dhirubhai.net/pulse/gen-ai-adaption-where-you-stand-muhammad-yasir-khan/ The Key Trait Shared by Every Successful CIO: Big Picture Mindset https://www.dhirubhai.net/pulse/key-trait-shared-every-successful-cio-big-picture-mindset-khan What Sets Great CIOs Apart: The Success Factors https://www.dhirubhai.net/pulse/what-sets-great-cios-apart-success-factors-muhammad-yasir-khan CIO: A Companion to the CEO (1/2) https://www.dhirubhai.net/pulse/cio-companion-ceo-12-muhammad-yasir-khan/

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