Develop LLM-Powered Applications With LangChain
4 Students
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1 Year
Access -
Intermediate
Skill Level -
Course Certificate
Certificate -
35
Units -
0
Quizzes -
3 hours
Duration
Overview
With the increasing demand for AI, there is an increasing demand for professionals with extraordinary skills in this realm. Become one of these sought-after professionals through our Develop LLM-Powered Applications With LangChain course. This course will provide you with quality training along with a CPDQS-accredited certificate.
From the informative modules, you will develop a clear understanding of LangChain. The course will help you dive deeper into Open AI functions calling, agents, memory and callbacks. Here, you will also learn about Retrieval Augmented Generation and develop the skills required for LangSmith projects. Finally, the course will educate you on microservice architecture for LLM applications.
When you complete the course, you will receive a certificate of achievement. This certificate will demonstrate your skills in this area and boost your career ahead. Enrol now!
Course Preview
Learning Outcomes
- Develop a solid grasp of the basics of LangChain
- Familiarise yourself with basic to advanced-level chains
- Explore the vital areas of Open AI functions calling and LangSmith
- Receive detailed lessons on Retrieval Augmented Generation
- Learn about microservice architecture for LLM applications
Why Take This Course From John Academy?
- Affordable, well-structured and high-quality e-learning study materials
- Meticulously crafted, engaging and informative tutorial videos and materials
- Efficient exam systems for the assessment and instant result
- Earn UK & internationally recognised accredited qualification
- Easily access the course content on mobile, tablet, or desktop from anywhere, anytime
- Excellent career advancement opportunities
- Get 24/7 student support via email
What Skills Will You Learn from This Course?
- LangChain
- Indexing API
- LangSmith
- LLM Application
Who Should Take This Develop LLM-Powered Applications With LangChain?
Whether you’re an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge.
Are There Any Entry Requirements?
This Develop LLM-Powered Applications With LangChain course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful.
Certificate of Achievement
After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99.
Career Path
This exclusive Develop LLM-Powered Applications With LangChain course will equip you with effective skills and abilities and help you explore career paths such as
- Software Developer
- Machine Learning Engineer
- Data Scientist
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1_ACRSetup 00:02:00
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1_AppServiceIntro 00:06:00
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1_BlobThory 00:06:00
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1_CognitiveSearchCreation 00:03:00
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1_EventGridIntro 00:02:00
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1_PostgresService 00:05:00
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1_RestrictAccessWithIPAdresses 00:09:00
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1_RetrievalWithLCEL 00:09:00
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1_ServicesLocal 00:08:00
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2_ACSSetup 00:07:00
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2_BlobPractice 00:09:00
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2_DockerBuild 00:05:00
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2_FrontendWalkThrough 00:06:00
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2_FunctionsIntro 00:02:00
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2_PgVectorNotebook 00:11:00
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2_PrepareBackEndForDeployment 00:07:00
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2_SetupFirewall 00:04:00
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3_BackendWalkThrough 00:13:00
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3_CreateIndexAndInsertDataACS 00:05:00
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3_DeploymentSuccess 00:10:00
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3_IndexingWithBlob 00:08:00
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3_SetupFunction 00:06:00
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4_ACSLangChain 00:06:00
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4_CreateBlobTrigger 00:04:00
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5_CodeWalkthrouhAndDeployment 00:12:00
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Create a Microsoft Azure Account 00:03:00
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Create a Resource Group 00:02:00
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Installation of Docker 00:02:00
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Installation of the Azure CLI 00:01:00
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Installation of Visual Studio Code 00:01:00
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Prerequisites for this course 00:01:00
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Subscription & the Azure Hierarchy 00:03:00
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What this course is NOT about 00:01:00
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What we build in this course 00:01:00
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