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Learn AI Models, earn certificates with free online courses from Stanford, University of Michigan, University of Virginia, CU Boulder and other top universities around the world. Read reviews to decide if a class is right for you.
Send text chat prompts to the Gemini model using the Vertex AI SDK, and handle both streaming and non-streaming responses from the Google Cloud console.
Use DeepSeek's V3 and R1 models via web interface, API, and local deployment, covering Mixture-of-Experts architecture, prompt engineering, and cost-effective integration strategies.
Build 25 AI projects with DeepSeek: text summarizers and NER tools, customer support and legal chatbots, email responders, SQL query generators, and business data analyzers.
Build deployable AI apps on OpenAI APIs: a Flask ChatGPT clone, Django quiz generator, DALL-E PowerPoint automation, Whisper transcription, plus model selection and fine-tuning.
Build Python scripts that call Cohere's API endpoints to create text embeddings, analyze semantic similarity between texts, and generate contextually relevant text with its LLMs.
Build intelligent systems with DeepSeek: explore its architecture and reasoning, craft prompts, and fine-tune, optimize, and deploy models for applications such as legal reasoning.
Explore DeepSeek's open-source architecture — Mixture of Experts, memory-efficient attention, model distillation — and craft structured prompts for its R-series and V-series models.
Build 15 JavaScript apps on OpenAI's APIs: text completion, streaming, embeddings similarity, DALL-E image generation and editing, and Whisper transcription and translation.
Build AI apps with the OpenAI API: translate and summarize text, create a chatbot, generate images, use vision and text-to-speech, and fine-tune models.
Run DeepSeek R1 locally with Ollama: handle hardware and installation, call the Ollama local API, and build a document analyzer, code assistant, and multi-agent app.
Integrate the Claude API into Python applications: build memory-enabled chatbots, tool-calling systems, streaming and structured outputs, and RAG pipelines with embeddings and vector databases.
Apply DeepSeek to summarization, code generation, and structured data tasks, then build AI workflows with memory and reasoning modules and integrate them with APIs and databases.
Build AI apps with OpenAI's API: experiment in the playground, set up the Node.js library, generate content with GPT-3 completions, and create images with DALL-E.
Call Gemini models with cURL commands against the Vertex AI Gemini API in a hands-on Google Cloud console lab.
Call Gemini models through the OpenAI library in a hands-on, self-paced cloud console lab.
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