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Why Learn AI in 2024?
The demand for AI professionals is expected to skyrocket in the coming years as companies integrate AI models into their operations. New roles like AI engineer, AI consultant, and prompt engineer are emerging, offering high salaries ranging from $136,000 to $375,000 annually. With the field of AI gaining traction, now is the perfect time to enter the job market with AI skills.
While there is a lot to learn in AI and new developments occur frequently, you don’t have to keep up with every new technology. By mastering a few foundational concepts, you can develop AI solutions for any use case. In this article, I provide a 5-step AI roadmap with free online courses to help you acquire these skills from top institutions like Harvard, Google, Amazon, and DeepLearning.AI at no cost.
Step 1: Learn Python
Start with Freecodecamp’s Python for Beginners course to grasp the fundamentals of Python programming, essential for AI development.
Step 2: Learn AI with a Free Harvard Course
Enroll in Harvard’s Introduction to AI with Python course to understand AI theory and practical applications, such as building AI applications in Python.
Step 3: Learn Git and GitHub
Master Git and GitHub to effectively manage your AI models’ code and collaborate with the AI community using Freecodecamp’s crash course.
Step 4: Mastering Large Language Models
Explore Large Language Models (LLMs) with free courses like Intro to Large Language Models by Google and Generative AI with LLMs by DeepLearning.AI and AWS.
Step 5: Fine-Tuning Large Language Models
Deepen your understanding of LLMs by learning about fine-tuning them in a free course offered by DeepLearning.AI.
After completing these steps, consider working on projects to gain hands-on experience and stay updated on AI trends through publications like KDNuggets and Towards AI. By continuously learning and applying your skills, you can position yourself for success in the AI industry.
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