The AI Ecosystem for Developers: Models, Datasets, and APIs

3h 32mIntermediate2025-06-12

Authors

Wuraola Oyewusi

Wuraola Oyewusi is an experienced data scientist, machine learning, and artificial intelligence professional.

Course details

AI has evolved and there is a range of people from developers, hobbyists, and tech leaders looking to explore the ecosystem. In this course, instructor Wuraola Oyewusi offers a guided exploration of the emerging AI tools developers need to know to stay competitive in their jobs. With the advent of AI tools like chat interfaces and easily accessible AI models, it can be overwhelming for those looking to be part of the AI wave. This course gives you the knowledge to confidently navigate the AI ecosystem and identify the tools and resources most relevant to your goals.

Learning objectives
Gain a comprehensive understanding of the AI ecosystem.
Learn the major components such as models, datasets, and APIs.
Gain hands-on experience working with essential resources like development tools, frameworks, and communities.
Explore the evolution of foundational architectures and how they have shaped the development of modern AI models.

Skills covered

Github ModelsOpenAI APIGitHubOpenAIProgramming FoundationsGenerative AIArtificial Intelligence FoundationsArtificial Intelligence (AI)Software DevelopmentOne-Off

Concepts

0. Introduction

01 - Getting started with the AI ecosystem
02 - What you should know

1. Understanding the AI Ecosystem

03 - What is interesting about AI
04 - Components of the AI ecosystem
05 - Open-source vs. closed-source AI systems
06 - AI repositories and hosting platforms
07 - AI ethics, bias, and privacy

2. AI Models and Architecture

08 - Introduction to AI models and architecture
09 - NLP architectures - RNNs and transformers
10 - Computer vision architectures - CNNs and vision transformers
11 - Generative architectures - Diffusion and GANs
12 - Multimodal architectures - CLIP and Flamingo
13 - Efficient architectures

3. AI Datasets

14 - Introduction to AI datasets
15 - Foundational AI image datasets
16 - Explore CIFAR-10 image dataset
17 - Foundational AI text datasets
18 - Explore Brown Corpus text dataset
19 - Foundational AI speech datasets
20 - Explore LibriSpeech dataset

4. AI APIs - Access and Integration

21 - What are AI application programming interfaces (APIs)
22 - Explore Hugging Face
23 - Product sentiment analysis with Hugging Face model
24 - Explore OpenAI developer platform
25 - Image generation using OpenAI API
26 - Explore Google AI Studio
27 - Create a conversational chatbot using the Google Gemini API
28 - Explore GitHub Models
29 - Compare GitHub Models and run in Codespaces
30 - Generate code and architecture with GitHub Models
31 - Accessing AI models via cloud providers

5. AI Resources and Community

32 - AI development tools and frameworks - IDEs
33 - AI development tools and frameworks - ML frameworks
34 - AI development tools and frameworks - Debugging and versioning
35 - AI development tools and frameworks - Data annotation
36 - AI computing infrastructure
37 - AI research platforms
38 - AI model rankings - Leaderboards, benchmarks, and evaluation trends
39 - AI interoperability standards - Model Context Protocol (MCP)

Conclusion

40 - Summary