Blog

As Artificial Intelligence (AI) advances, the need for accessible education grows. OpenAI and DeepLearning address this by offering thirteen free courses for beginners and intermediates. These courses are a valuable resource for aspiring AI developers, providing a stepping stone into the expansive world of AI at no cost.

Beginner Level Courses:

These courses are designed for individuals with a solid programming foundation, aiming to dive into AI development. They provide an ideal start to understand and implement Large Language Models (LLMs) in various applications.

ChatGPT Prompt Engineering for Developers:

Understand how to extend the capabilities of chat interfaces using API access and build a customized chatbot.

Building Systems with the ChatGPT API:

Delve into breaking down complex tasks, automating workflows, and enhancing LLM outputs through practical examples.

LangChain for LLM Application Development:

Uncover the potential of LangChain framework in integrating LLMs into new environments.

LangChain: Chat with Your Data:

Develop a chatbot to interact with your private data and documents proficiently using LangChain.

Large Language Models with Semantic Search:

Utilize LLMs to augment search functionalities and summarize search results effectively.

Building Generative AI Applications with Gradio:

Learn to build and share machine learning applications swiftly on Hugging Face Spaces using Gradio.

Pair Programming with a Large Language Model:

Discover how to prompt an LLM to assist in code improvement, debugging, understanding, and documentation.

Understanding and Applying Text Embeddings:

Accelerate application development through the proficient use of text embeddings.

Unleashing Business Innovations with AI through Semantic Kernel:

Delve into Microsoft’s open-source orchestrator, Semantic Kernel, for crafting business applications by harnessing the power of Large Language Models (LLMs).

Intermediate Level Courses:

After a firm grasp on the basics, these intermediate courses are the next step to delve deeper into the capabilities of LLMs and other AI tools.

Functions, Tools and Agents with LangChain:

Explore and apply the new capabilities of LLMs as a developer tool to build more advanced applications.

Finetuning Large Language Models:

Master the art of fine-tuning an LLM swiftly to cater to your unique data requirements.

Evaluating and Debugging Generative AI Models Using Weights and Biases:

Immerse into MLOps tools for effective management, versioning, and debugging in your machine learning workflow.

How Diffusion Models Work:

Build diffusion models from scratch to understand their functionality and applications in real-world scenarios.

These free courses by OpenAI and DeepLearning are an invaluable resource for anyone keen on navigating the AI landscape.