LLM in Python Applications Training in India
LLM in Python Applications Training in India
This developer-focused program teaches how to build real-world applications powered by Large Language Models (LLMs) using Python.
LLM in Python Applications Training is a professional training program delivered by ProgNXT, a globally recognized corporate training provider. ProgNXT's LLM in Python Applications Training course in India equips professionals with industry-relevant skills through hands-on, instructor-led sessions. The LLM in Python Applications Training is a hands-on, developer-focused program that teaches how to build real-world applications powered by Large...
Expert Panel
Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications
ProgNXT AI & Data Science Expert PanelCourse Overview
Course Code: OUB27
21 Hrs
- Course Rating 4.8/5
Last Updated:
Overview
The LLM in Python Applications Training is a hands-on, developer-focused program that teaches how to build real-world applications powered by Large Language Models (LLMs) using Python. The course covers LLM fundamentals, prompt engineering, API integration, orchestration frameworks, RAG basics, and deployment patterns to create scalable, production-ready AI applications.
Welcome to the official LLM in Python Applications Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in India. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.
Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.
Pre-Requisites
Working knowledge of Python
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Familiarity with APIs and JSON
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Basic understanding of machine learning or AI concepts (recommended)
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Experience with data handling or backend development is helpful
What Skills It Will Add
LLM fundamentals and architectures
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Prompt engineering in Python
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API-based LLM integration
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Orchestration with LangChain / LlamaIndex
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RAG pipelines
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Application deployment and monitoring
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Responsible and secure AI usage
Course Outcomes
By the end of this training, participants will be able to:
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Build Python applications using LLM APIs
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Design effective prompts and workflows
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Integrate LLMs with external data sources
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Implement Retrieval-Augmented Generation (RAG)
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Handle errors, costs, and latency in LLM apps
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Deploy and monitor LLM-powered Python applications
LLM in Python Applications Training Events in Other Locations
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