If you want to earn big, learn AI and get involved. You haven’t missed the boat. Job and business opportunities are wide open for anyone with ambition, focus and a commitment to progression. NVIDIA is here to help you out. The company has released numerous free online courses in AI. No payment required, just get in and start learning.

Alamin Hossain, founder of 8020AI, shared the 9 free courses you don’t want to miss in 2024, 5 of which are detailed below. Click the link, get started, and don’t stop until you’ve leveled up. The signs are everywhere and they are screaming at you: this is your ticket to professional greatness.

Don’t let the complex nature of these courses put you off. Move towards what you don’t understand. Push the edges of your comfort zone and spot the opportunities within each field. Let’s get technical.

Learn AI to open opportunities: 5 courses for ambitious professionals

Generative AI explained

Generative AI is transforming content creation by using existing information to generate new material. It’s a huge opportunity for business. This course covers the basics, practical applications, and the challenges of Generative AI, all without needing coding skills.

You’ll learn what Generative AI is, how it works, and its various uses, from creating content to solving problems. The course also addresses ethical concerns and technical issues. By the end, you’ll understand Generative AI and be ready to use AI tools to boost your income.

Building a brain in 10 minutes

Explore the biological and psychological foundations of neural networks in this engaging notebook. You’ll learn how neural networks use data to learn, understand the math behind a neuron, and gain insights into the origins of neural network technology.

This quick exercise provides a foundational understanding of AI’s inspiration from biology and psychology, setting the stage for further AI exploration.

Assemble a simple robot in Isaac Sim

There are multiple areas of AI it makes sense to explore. You never know what the future holds. In this course, you’ll follow a tutorial to create a two-wheel mobile robot in a live virtual environment. The 30-minute tutorial will guide you through connecting a local streaming client to an Omniverse Isaac Sim server in the cloud, loading a USD mock robot, adding joint drives and properties, and articulating the robot.

By the end, you’ll have a basic understanding of the Isaac Sim interface and the documentation needed to start your own robot simulation projects.

Getting started with AI on Jetson Nano

AI is now within reach for entrepreneurs and professionals, and there’s no harm in understanding the nuts and bolts of how it all works. This course uses Jupyter iPython notebooks on a Jetson Nano, which is a small computer, to build a deep learning classification project with computer vision models.

You’ll learn to set up the Jetson Nano, collect and annotate image data, and train neural networks to create models. By the end, you’ll run these models on the Jetson Nano, developing drastically enhanced skills and understanding of AI.

Building advanced agents with LLMs

Here’s where you explore the revolutionary capabilities of large language models (LLMs) in this course focused on retrieval-based systems. Designed for those keen to implement LLMs effectively, you’ll learn to create systems that interact predictably with users, manage dialogs, and retrieve information efficiently.

The workshop covers LLM inference interfaces, pipeline design, dialog management, and embedding models for similarity queries. By the end, you’ll understand how to develop and deploy advanced LLM applications and RAG (retrieval augmented generation) agents, enhancing productivity and automating complex tasks.

Free technical AI courses by NVIDIA (open career opportunities)

Learning and implementing various areas of AI can significantly boost your career and business prospects. I don’t just mean using tools. I mean learning how to build them, for massive understanding and more opportunity. Even if you don’t take the free online courses, read their descriptions, understand there’s a lot you don’t know, and that in itself is a reason to get involved. The magic happens outside your comfort zone.

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