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Abstract

oduction to AI with Python</a>.This is an introductory course in artificial intelligence that will teach you how to use machine learning in Python.Here’s what you’ll learn in the course:<ul><li>Graph search algorithms</li><li>Reinforcement learning</li><li>Machine learning</li><li>Artificial intelligence principles</li><li>How to design intelligent systems</li><li>How to use AI in Python programs</li></ul>While it’s introductory, this course will do more than introduce you to AI. With this course, you will move from novice to expert in one of the fastest-growing domains of computer science within its 7-week timeframe.More details about the course:<ul><li>Pace: self-paced</li><li>Time commitment: 10–30hours per week.</li><li>Difficulty: Introductory</li><li>Cost: Free (but you’ll pay if you want to get the certificate).</li></ul>You have no excuse!<h1 id="ff91">Learn Prompting</h1>Generative AI is here and it’s accessible to everybody. But the quality of what you get from them will only depend on the quality of your input.It’s still the old boring garbage in garbage out. As boring as it is, effective prompting will help you get the most exciting garbage – out from generative AI. <a href="https://learnprompting.org/docs/intro">This learn-promoting course</a> will help you achieve that.There are over 60 modules in the course and here are a few:<ul><li>Basics: This is an introduction to prompt engineering and its fundamental techniques</li><li>Basic Applications: You will learn about practical but simple applications of prompt engineering</li><li>Intermediate: Leveling up, you will learn research-based PE techniques that are moderately complex</li><li>Applied Prompting: Holistic PE process walkthroughs contributed by community members</li><li>Advanced Applications: The hard meat. Learn advanced and more complex applications of prompt engineering</li><li>Reliability: Enhance the reliability of large language models (LLMs)</li><li>Image Prompting: You also get to learn prompt engineering for text-to-image models like OpenAI’s DALLE and Stability AI’s Stable Diffusion.</li><li>Prompt Hacking: You heard that right; hacking, but for prompt engineering</li><li>Tooling: An overview of various prompt engineering tools and IDEs</li><li>Prompt Tuning: Refining prompts using approaches like the gradient-based techniques</li><li>Miscellaneous: A collection of additional topics and techniques related to prompt engineering</li></ul>This course is a thoroughfare for moving from beginner to advanced in the art of prompt engineering.<h1 id="934f">Google’s Introduction to Responsible AI</h1>How do we design AI that gives us all the good and saves us from all the bad? The answer is responsible AI.In <a href="https://www.cloudskillsboost.google/course_templates/554">this course by Google</a>, you’ll learn what responsible AI is, why it is important, and how Google implements it in its products.It’s an 8-hour-long course, and while it won’t equip you with in-demand AI skills, you will learn about making and using AI in a way that benefits humanity —everything else depends on this.<h1 id="d57d">Harvard’s Data Science: Machine Learning</h1><a href="https://pll.harvard.edu/course/data-science-machine-learning">This course</a> is a part of Harvard

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’s Professional Certificate Program in Data Science. Here’s what you’ll learn:<ul><li>The basics of machine learning</li><li>How to perform cross-validation to avoid overtraining</li><li>Several popular machine learning algorithms</li><li>How to build a recommendation system</li><li>What is regularization and why it is useful</li></ul>In 8 weeks, the course will teach you popular machine learning algorithms regularization, and principal component analysis by building a movie recommendations system.You will learn other machine learning-relevant skills as you build this recommendation system.<h1 id="b510">DeepLearning AI’s ChatGPT Prompt Engineering for Developers</h1>When the makers of ChatGPT decide to teach prompt engineering, that’s something you should take seriously.<a href="https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/">This course</a> teaches how to use large language models (LLMs) to build new applications, and also covers topics such as:<ul><li>Summarizing text</li><li>Inferring sentiment</li><li>And transforming text.</li></ul>Despite this being an advanced course, it is also beginner-friendly, requiring only a basic understanding of Python to get started.<h1 id="b897">DeepLearning AI’s LangChain for LLM Application Development</h1>LangChain is a framework that simplifies the creation of applications using large language models.In this <a href="https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/">DeepLearning’s AI’s LangChain for LLm Application Development course</a>, you will gain important skills for expanding the use cases and capabilities of language models in application development using the LangChain framework.You will learn:<ul><li>Models, Prompts, and Parsers: How to call LLMs, provide prompts, and parse the response</li><li>Memories for LLMs: Memories for storing conversations and managing limited context space</li><li>Chains: To create sequences of operations</li><li>Question Answering over Documents: Applying LLMs to your proprietary data and use case requirements</li><li>Agents: Explore the powerful emerging development of LLM as reasoning agents.</li></ul>This is course is beginner-friendly, although requiring only basic knowledge of python for getting started.<h1 id="d5fa">Microsoft’s Streamlining Your Work with Microsoft Bing Chat</h1>Are language models only useful for answering questions? The answer is absolutely not, and this <a href="https://www.linkedin.com/learning/streamlining-your-work-with-microsoft-bing-chat/put-your-fingers-to-work-chatting-as-a-productivity-tool">LinkedIn course by Microsoft</a> will teach you how you can use Bing Chat to perform a wide variety of tasks, including streamlining your entire workflow; from generating ideas and summarizing data to solving common work problems.The course will teach you chat AI tools function, and how Bing Chat can help you boost your creativity. You’ll be able to perform above-average online searches, generate ideas and compose texts, fact-check results, automate your work, and more by the end of the course.It doesn’t matter if you are a beginner, an intermediate or already advanced in AI, this list covers courses that cater to each level of learning and can help you get started or go pro in the AI game.</article></body>

Top 9 Free Generative AI Courses To Become AI-Ready Before 2024

These courses will help you start a new business or pivot your career in no time.

It was this time last year that ChatGPT set the world ablaze. People’s reactions ever since fall into two general categories:

Those who think that AI will be the end of us.
And then those who don’t.

But there is a third, unpopular category:

Those willing to learn generative AI-relevant skills so they can take full advantage of the opportunities brought by AI since the ChatGPT inferno.

This post is for you if you belong to this third group.

Maybe you’re an entrepreneur looking to solve a problem and build a business, or you’re looking to up your game or switch careers so employers will look your way before others.

Learning generative AI skills can get you these results, and you can get started with these free courses:

Amazon’s AI Ready

The AI Ready initiative by Amazon is based on a simple finding; according to Amazon, the demand for AI talent is on the rise, and companies are willing to pay high for these talents, yet 75% of employees in need of AI talents are unable to meet this need.

To put it more simply: there’s high demand but not enough supply for AI-skilled workers.

Amazon wants to bridge the gap, and the suite of course offered by the AI Ready initiative will cater to both technical and non-technical learners.

The course for nontechnical learners includes an introduction to the foundations of generative AI, how to plan projects around AI, and how to use Amazon’s CodeWhisper AI code generator.
Technical learners will have what’s left, which includes courses around prompt engineering, machine learning, and language model building.

These courses can be accessed through the AWS Educate and AWS Skill Builder sites.

DeepLearning AI’s Generative AI for Everyone

Here’s a quick prediction: the future ahead will be powered by AI.

That is a statement of fact, and this DeepLearning AI’s course was created to make sure everyone can take part in that future.

It is a simple 3-week long course that will teach you about what generative AI is, including what it can and can’t do. You will also learn prompt engineering, how you can employ the help of generative AI for your day-to-day work, as well as how to move beyond these basics into more advanced uses of AI.

Harvard’s CS50's Introduction to AI with Python

Top companies are putting things together to equip willing learners with AI skills. The top universities are not getting left out. Harvard is weighing in with their CS50 Introduction to AI with Python.

This is an introductory course in artificial intelligence that will teach you how to use machine learning in Python.

Here’s what you’ll learn in the course:

Graph search algorithms
Reinforcement learning
Machine learning
Artificial intelligence principles
How to design intelligent systems
How to use AI in Python programs

While it’s introductory, this course will do more than introduce you to AI. With this course, you will move from novice to expert in one of the fastest-growing domains of computer science within its 7-week timeframe.

More details about the course:

Pace: self-paced
Time commitment: 10–30hours per week.
Difficulty: Introductory
Cost: Free (but you’ll pay if you want to get the certificate).

You have no excuse!

Learn Prompting

Generative AI is here and it’s accessible to everybody. But the quality of what you get from them will only depend on the quality of your input.

It’s still the old boring garbage in garbage out. As boring as it is, effective prompting will help you get the most exciting garbage – out from generative AI. This learn-promoting course will help you achieve that.

There are over 60 modules in the course and here are a few:

Basics: This is an introduction to prompt engineering and its fundamental techniques
Basic Applications: You will learn about practical but simple applications of prompt engineering
Intermediate: Leveling up, you will learn research-based PE techniques that are moderately complex
Applied Prompting: Holistic PE process walkthroughs contributed by community members
Advanced Applications: The hard meat. Learn advanced and more complex applications of prompt engineering
Reliability: Enhance the reliability of large language models (LLMs)
Image Prompting: You also get to learn prompt engineering for text-to-image models like OpenAI’s DALLE and Stability AI’s Stable Diffusion.
Prompt Hacking: You heard that right; hacking, but for prompt engineering
Tooling: An overview of various prompt engineering tools and IDEs
Prompt Tuning: Refining prompts using approaches like the gradient-based techniques
Miscellaneous: A collection of additional topics and techniques related to prompt engineering

This course is a thoroughfare for moving from beginner to advanced in the art of prompt engineering.

Google’s Introduction to Responsible AI

How do we design AI that gives us all the good and saves us from all the bad? The answer is responsible AI.

In this course by Google, you’ll learn what responsible AI is, why it is important, and how Google implements it in its products.

It’s an 8-hour-long course, and while it won’t equip you with in-demand AI skills, you will learn about making and using AI in a way that benefits humanity —everything else depends on this.

Harvard’s Data Science: Machine Learning

This course is a part of Harvard’s Professional Certificate Program in Data Science. Here’s what you’ll learn:

The basics of machine learning
How to perform cross-validation to avoid overtraining
Several popular machine learning algorithms
How to build a recommendation system
What is regularization and why it is useful

In 8 weeks, the course will teach you popular machine learning algorithms regularization, and principal component analysis by building a movie recommendations system.

You will learn other machine learning-relevant skills as you build this recommendation system.

DeepLearning AI’s ChatGPT Prompt Engineering for Developers

When the makers of ChatGPT decide to teach prompt engineering, that’s something you should take seriously.

This course teaches how to use large language models (LLMs) to build new applications, and also covers topics such as:

Summarizing text
Inferring sentiment
And transforming text.

Despite this being an advanced course, it is also beginner-friendly, requiring only a basic understanding of Python to get started.

DeepLearning AI’s LangChain for LLM Application Development

LangChain is a framework that simplifies the creation of applications using large language models.

In this DeepLearning’s AI’s LangChain for LLm Application Development course, you will gain important skills for expanding the use cases and capabilities of language models in application development using the LangChain framework.

You will learn:

Models, Prompts, and Parsers: How to call LLMs, provide prompts, and parse the response
Memories for LLMs: Memories for storing conversations and managing limited context space
Chains: To create sequences of operations
Question Answering over Documents: Applying LLMs to your proprietary data and use case requirements
Agents: Explore the powerful emerging development of LLM as reasoning agents.

This is course is beginner-friendly, although requiring only basic knowledge of python for getting started.

Microsoft’s Streamlining Your Work with Microsoft Bing Chat

Are language models only useful for answering questions? The answer is absolutely not, and this LinkedIn course by Microsoft will teach you how you can use Bing Chat to perform a wide variety of tasks, including streamlining your entire workflow; from generating ideas and summarizing data to solving common work problems.

The course will teach you chat AI tools function, and how Bing Chat can help you boost your creativity. You’ll be able to perform above-average online searches, generate ideas and compose texts, fact-check results, automate your work, and more by the end of the course.

It doesn’t matter if you are a beginner, an intermediate or already advanced in AI, this list covers courses that cater to each level of learning and can help you get started or go pro in the AI game.