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Certification

Certification: Generative AI Developer – Gemini Pro, OpenAI, Llama & Tools

Show the world you have AI skills with this certification covering Gemini Pro, OpenAI, Llama, and top tools. Gain practical expertise that stands out on your CV and demonstrates your ability to build and deploy generative AI solutions.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate · Expert · Technical

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01GenAI overview and LLM history76:59
  2. 02OpenAI API and function calling140:34
  3. 03LangChain and prompt templates122:21
  4. 04Agents, chains and memory98:28
  5. 05Hugging Face and local models109:46
  6. 06MCQ generator project158:31
  7. 07Streamlit, deployment and vector DBs183:28
  8. 08Pinecone basics95:47
  9. 09Pinecone implementation: init and query173:37
  10. 10Model loading and serialisation119:44
  11. 11Deep learning frameworks113:44
  12. 12Medical chatbot119:44
  13. 13Multimodal Streamlit apps125:43
  14. 14Databases and connections119:44
  15. 15Generative pre-training recap59:52
About the course

The Certification: Generative AI Developer – Gemini Pro, OpenAI, Llama & Tools is designed for professionals looking to master the latest advancements in generative AI technologies. Gain expertise in implementing large language models, managing vector databases, and leveraging leading APIs, equipping you with a competitive advantage and increased productivity in the evolving AI field. Enroll now to future-proof your career and stay ahead in AI innovation.

This certification covers the following topics:

  • Understanding Generative AI and Its Hierarchical Structure
  • The Evolution of Large Language Models (LLMs)
  • Practical Implementation Using Python and Libraries
  • Understanding and Utilizing the OpenAI API
  • Tokenization and Its Importance
  • Memory Management in Language Models via Langchain
  • Vector Databases and Embeddings
  • Pinecone Vector Database Implementation
  • Retrieval Augmented Generation (RAG)

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.