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Stop wondering what being a software engineer is like, ditch the imposter syndrome, and learn the skills to think like a developer.
Instructor: Sudhanshu DwivediLanguage: English
LLMs (Large Language Models) show powerful capabilities, but not knowing how to effectively and efficiently use them often leads to unexpected behaviors. Prompt engineering helps to reduce failure cases and computing costs related to building with LLMs.
This hands-on prompt engineering course covers:
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
- how to design, test and optimize prompts
- prompt engineering techniques and tactics to help build efficient, reliable, useful, and safe systems with LLMs
- advanced prompt engineering techniques (e.g., few-shot learning, ReAct, chain-of-thought, RAG) that enable applications and capabilities like emotion analysis, information extraction, chatting with your data, and connecting LLMs with external tools and data sources
- prompt engineering tools like LangChain, DUST, OpenAI Python client, and many more
- exercises, demos, use cases, applications, and the latest papers related to prompt engineering
Network and join a community building and exploring with LLMs.
Elvis, the instructor for this course, has vast experience doing research and building with LLMs. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has taught experts in companies like LinkedIn, Amazon, Coinbase, Inuit, JPMorgan Chase & Co, and many others. He has worked with world-class teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.
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