Upgrading skills is very important these days. Remember people who said that computers won’t change the way office work is done, they were the first ones to get fired. Most importantly, the people who adapted to the information technology revolution are now the leaders of the industry. As an example; people have been harvesting domain names since the early 90s and have been making money just by reselling those domains. How were they able to do it? By staying updated with the world of technology and making early moves. As the dawn of computers arrived, every person who had no knowledge of computers found themselves out of job as companies demand people with computer skills. Sensing this change, fresh graduates started learning computers and with the power of youth they became super productive.
Same revolution is happening with AI now. With LLM (Large language models) ingesting petabytes of data every days and then putting out actionable results is just astounding. Now you don’t have to write a business requirement document or a use case. Just ask a large language model like ChatGpt or Gemini and it’ll do days worth of job in seconds. You can then build on that work and finish the job in just under a day. This is days worth of bandwidth saved for a company. Now why will companies need to hire people if AI is capable of doing the job? This question has a simple answer and that is “To run AI better.”.
AI will continue to have it’s flaws and will also need to be improved over time. It will also need to work co-dependently with human counterpart in order to be super productive. This is because human mind is present in the real world where it can think from every aspect and provide feedback to the AI to improve the actual result. Companies will hire more people who are AI trained and can increase the productivity 100x by using AI. Productivity and revenues for companies will increase as AI models are deployed everywhere.
Now, how do you as a job seeking aspirant fit in? Chances are you are not AI trained and have barely worked on chat Gpt. So, the question is will AI do your job?
Answer is Yes & No. Yes because AI will do your job and No because you will be it’s master. You will need to master the use of AI, like a horse rider learns how to ride a horse. He can run on his own, but with the horse he runs faster. If you do not learn how to work AI, chances are you will find yourself out of a Job very soon. Whether you are opting for a non technical job or a technical one, learning AI is pivotal in this century.
You can learn about AI & skills via google cloud AI platform, Microsoft Azure & IBM Watson. These do not require any coding skills and the journey is relatively easy. Below are some resources that will help you to start your journey in the world of AI
1. Google Teachable Machine
You can use this to train a computer to recognize your sound, images & poses. This can help you in animation, designing vector graphics and building amazing websites & apps. It is web based and is totally free. Here you gather your example data, group it and then train the computer AI. Once the AI is trained, you can then export your model and use it in website or app.
https://teachablemachine.
2. AI for Everyone from Coursera
This wonderful course tells you how & where to start your journey in the world of AI. This is a must thing to do when planning to venture into AI. Rated 4.8 after more than 41000 reviews, this 6 hour course offers four modules:
- What is AI.
- Building AI Projects.
- Building AI in your company.
- AI and Society.
As of now, this course is being offered for free.
https://www.coursera.org/
3. Google Cloud AutoML,
You can use this to build custom machine learning models and train them without using any code and with minimal effort. This comes with a free $300 credit to begin with and you can train models to work on repetitive tasks and build automation models.
https://cloud.google.com/
4. IBM Watson Studio
IBM Watson was one of the first online platforms to offer AI access to the masses. It brings generative AI capabilities to foundation models creating a ecosystem which offers developer, analysts and problem solvers a platform to build scalable AI models.
https://www.ibm.com/products/
5. Open AI
You might already be familiar with OPENAI. Their flagship generative AI Model Chatgpt can help you to understand basic prompt engineering and simplify difficult tasks.