Generative AI & LLMs for Builders
Our flagship, hands-on bootcamp for building with Generative AI. Understand how LLMs work, master prompt engineering, build chatbots and copilots on the Claude & GPT APIs, ship RAG pipelines and AI agents, and deploy a production GenAI app as your capstone. Certification on completion.
Generative AI
Artificial Intelligence
Advanced
Prompt Engineering
- 8 lessons
- Updated 09/05/2026
Building with the Claude & GPT APIs
From playground to product
APIs turn a chat model into a building block you can wire into apps. The shape is the same across providers: send messages, get a completion.
from anthropic import Anthropic
client = Anthropic()
resp = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=500,
messages=[{"role":"user","content":"Summarize this ticket: ..."}],
)
print(resp.content[0].text)
What you'll build
- A chatbot with conversation history.
- A copilot that drafts or classifies inside a workflow.
- Streaming responses for a snappy UX.
- Tool use so the model can call your functions.
Takeaway: once you can call the API and handle the response, you can build almost anything.
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