Are you curious about the power of artificial intelligence? Do you want to stay ahead of the curve and learn how to apply it in your profession? AI is not a passing trend, but a game-changing technology that can boost your career prospects. On this web page, you will find links to FREE courses and other learning tools that will help you grow your AI skills.
On this page
Getting started
- AI for Everyone by DeepLearning.AI
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take. - Machine Learning Specialization by DeepLearning.AI and Stanford University This course teaches you the fundamentals of machine learning and how to apply them to real-world AI problems. It is taught by Andrew Ng, a renowned AI expert and educator. (coursera)
- Element of AI – by MinnaLearn and the University of Helsinki
Series of free online courses introducing the basics of AI, what it can and cannot do, and how to create AI methods. You can earn a certificate upon completion. - Introduction to Artificial Intelligence (AI) by IBM
Coursera program (beginners) that teaches how to build AI applications with Python and IBM Watson. It has six courses on AI basics, chatbots, computer vision, and data science. It gives a certificate from IBM and career resources. - Guide to learn AI & machine learning by Google
Overview of AI and machine learning concepts, use cases, and career paths. - Google Digital Garage
- MIT Introductory Course on Self-Supervised Learning & Foundation Models
For Marketers
AI is a powerful technology that can help marketers in various ways, it can
- Create content more efficiently using tools like ChatGPT to generate web and social media content, emails, taglines, etc.
- Leverage customer data and insights by customizing your marketing campaigns with tools like predictive analytics and personalized email marketing.
- Engage with chatbot customers using tools like IBM Watson Assistant.
- Design and deploy banners and designs using tools like AI-powered design tools.
- Measure and optimize performance using tools like AI-powered analytics and dashboards.
Resources for marketers
Get Inference AI Radar: The Ultimate Directory AI tools for MARKETING
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You might be interested in
- Prompt Engineering: A Guide for Marketers and Content Creators
- 190 ChatGPT Prompts Marketers Should Use (Erica Santiago/Hubspot)
- Your Guide to Communicating with Artificial Intelligence (learnprompting.org)
Remember
AI cannot replace the human element of marketing, such as creativity, intuition and unique perspective. Marketers still need to balance the use of AI with human interaction and ethical considerations.
For Coders
Web development is a challenging and rewarding field that requires a combination of creativity, logic, and technical skills. However, with the rapid advancement of technology, web developers face new challenges and opportunities every day. One of the most exciting and promising technologies that can help them is artificial intelligence (AI) which will cut development time while allowing coders to focus on less repetitive tasks.
Resources for coders
All Things AI – AI Tools for coding
A comprehensive list of AI tools for various categories, including coding, data science, natural language processing, computer vision, and more. Below are some of the most popular.
- OpenAI Codex
OpenAI Codex is a general-purpose programming model, meaning that it can be applied to essentially any programming task (though results may vary). OpenAI Codex is available in private beta via their API (currently free) - GitHub Copilot – Your AI pair programmer
GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real time, right from your editor. - Tabnine – (free starter plan)
Tabnine is an AI code assistant with whole-line & full function code completions | Supports all programming languages and IDEs - CodeT5
Pre-trained encoder-decoder model for programming languages, which is pre-trained on 8.35M functions in 8 programming languages and achieves state-of-the-art results on 14 sub-tasks in a code intelligence benchmark. - PolyCoder
An open source alternative to OpenAI’s Codex released by researchers from Carnegie Mellon University. The model is trained on multiple programming languages.
Whether you are a beginner or an expert, there are plenty of resources and tools available, including many free ones, to help you explore, create, and apply AI in your domain. The resources and tools mentioned in this article are just a sample of what you can find online.
Keep learning and experimenting with AI, and don’t forget to exchange your ideas and experiences with others.
You might be interested in
- A Beginner’s Guide to Prompt Engineering with GitHub Copilot (Rizel Scarlett)
- Ben’s Bites newsletter – Daily dose of what’s going on in AI. Check it out!
- Hugging Face and ServiceNow release a free code-generating model (techcrunch)
- Embracing AI as a material for design by Guus Baggermans (UX Collective)
- Simon Willison’s Weblog – Simon Willison is a British programmer who co-created the Django web framework and the Datasette project. He writes about various topics related to AI, Web dev, and data analysis.
- ChatGPT Prompt Engineering for Developers (deeplearning.ai)
Remember
The power of artificial intelligence (AI) is not just a passing trend, but a game-changing technology that can boost your career prospects.