Open Generative AI: Build with Open Models and Tools

Harness the power of open-source innovation with the Open Generative AI Professional Certificate , a hands-on program designed for developers, engineers, and technical professionals eager to build practical expertise with cutting-edge AI tools. Generative AI is reshaping industries, from software and product development to marketing, design, and research. Open-weight models offer transparency, flexibility, and freedom from vendor lock-in. Across 13 applied courses, you’ll master the end-to-end lifecycle of open generative AI: Setting up development environments, preparing datasets, fine-tuning large language models and diffusion models, evaluating performance, building retrieval-augmented generation (RAG) pipelines, and deploying applications at scale. You’ll gain hands-on experience with in-demand tools such as Hugging Face Transformers, PEFT/QLoRA, Stable Diffusion, ComfyUI, LangChain, MCP, FAISS, Milvus, Docker, Ollama, and FastAPI . Every course includes project-based learning, where you’ll create real-world artifacts like fine-tuned models, production-ready datasets, evaluation dashboards, REST APIs, RAG applications, and a capstone open AI system. These portfolio-ready projects help prepare you for roles such as Machine Learning Engineer, AI Engineer, Applied Scientist, or Generative AI Developer , roles that are seeing rapid growth and high demand

• Fine-tune and optimize open-source text and image models for domain-specific applications
• Build retrieval-augmented generation pipelines to deliver accurate, context-aware outputs
• Deploy generative AI models with scalable APIs, containers, and cloud-based tools
• Implement responsible AI practices, including bias testing, safety guardrails, and compliance

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work