10 FREE AI Courses to Become AI Engineer in 2024 | Machine Learning Courses

TL;DR

Free roadmap to becoming an AI engineer with 10 courses categorized for beginners, intermediates, and advanced learners.

Transcript

there are people making over 20 lakh per year as a AI engineer in India and if you want to get started in 2024 here are the best 10 courses that you can enroll for completely free and become a AI engineer I've divided these 10 into three different categories the beginner the intermediate and the advanced courses I will also talk about what can you ... Read More

Key Insights

• ❓ Math basics, Python mastery, and data analysis are essential prerequisites for starting a career in AI.
• 🔨 Beginner courses focus on understanding generative AI and practical applications in AI tools.
• 🎰 Intermediate courses delve deeper into machine learning concepts and neural networks for AI development.

Questions & Answers

Q: What are the prerequisites for starting a career in AI?

Pre-requisites include understanding math basics like linear algebra and calculus, mastering Python, and getting familiar with data analysis using libraries like NumPy, Matplotlib, and Pandas.

Q: What beginner courses are recommended for learning AI?

Beginner courses like "Generative AI for Everyone" on Coursera, "Career Essentials for Generative AI" by Microsoft, and "Chat GPT Prompt Engineering" by Andrew NG provide a foundational understanding of generative AI and how to apply it practically.

Q: Which intermediate courses can help progress in AI learning?

Intermediate courses like "Machine Learning by Stanford" on Coursera, "cs50 AI" by Harvard, and "Introduction to Generative AI" by Google focus on delving deeper into machine learning concepts, neural networks, and practical applications of generative AI tools.

Q: What are the advanced-level courses for building AI models?

Advanced courses like "Building Systems with Chat GPT API" and "Using Lang Chain to build LLM applications" on the Deep Learning AI site, "Building AI apps with Gradio," and "NLP with Hugging Face" offer insights into building AI apps, using APIs, and creating generative applications.

Summary & Key Takeaways

• Pre-requisites for AI include math basics, Python mastery, and data analysis using libraries like NumPy, Matplotlib, and Pandas.

• Beginner courses cover generative AI, chat GPT, and practical applications in Microsoft courses on LinkedIn.

• Intermediate courses delve deeper into machine learning basics, neural networks, and utilizing Google's generative AI tools.