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LangChain for LLM Application Development

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. In this course you will learn and get experience with the following topics: 1. Models, Prompts and Parsers: Calling LLMs, providing prompts and parsing the response. 2. Memories for LLMs: Memories to store conversations and manage limited context space. 3. Chains: Creating sequences of operations. 4. Question Answering over Documents: Apply LLMs to your proprietary data and use case requirements. 5. Agents: Explore the powerful emerging development of LLM as reasoning agents. At the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications. This one-hour course, instructed by the creator of LangChain Harrison Chase as well as Andrew Ng will vastly expand the possibilities for leveraging powerful language models, where you can now create incredibly robust applications in a matter of hours.
Duration 5 Months
Institution DeepLearning.AI
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into DeepLearning.AI.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $139
Total Est. Investment $139

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the LangChain for LLM Application Development program at DeepLearning.AI are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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