Advanced LLM Development with OpenAI Training Course in New York

Advanced LLM Development with OpenAI Training Course in New York, USA

This advanced training dives deep into developing and deploying large language models using OpenAI's APIs, covering fine-tuning, prompt engineering, and production integration.

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Advanced LLM Development with OpenAI Training Course is a professional training program delivered by ProgNXT in New York, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Advanced LLM Development with OpenAI Training Course course with hands-on, instructor-led sessions. This advanced training course is designed for experienced developers seeking to master the intricacies of building and deploying Large Language...

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 Panel

Course Code: EOS54
14Hrs
Last Updated: June 2026

Course Rating5/5

This advanced training course is designed for experienced developers seeking to master the intricacies of building and deploying Large Language Models (LLMs) with OpenAI. Participants will explore advanced prompt engineering, fine-tuning strategies, function calling, and retrieval-augmented generation (RAG). The curriculum emphasizes practical implementation, covering API integration, model evaluation, and deployment best practices for production-grade AI applications. Through a series of structured sessions, learners will gain the skills to build sophisticated, context-aware conversational agents and automated workflows.

Welcome to the official Advanced LLM Development with OpenAI Training Course certification program in New York, USA. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. 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 14Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Proficiency in Python programming
Basic understanding of machine learning concepts
Familiarity with RESTful APIs and JSON
Experience with version control systems (e.g., Git)

Upon completion, participants will be able to architect, develop, and deploy advanced LLM-powered applications using OpenAI's platform. They will have hands-on experience with fine-tuning, function calling, and RAG, and will be prepared to implement production-ready AI solutions that are scalable, secure, and aligned with business needs.

Design and implement advanced prompt strategies
Fine-tune OpenAI models for domain-specific tasks
Integrate external APIs and tools via function calling
Build and optimize RAG-based systems
Evaluate and iterate on model outputs for quality
Deploy LLM applications securely and at scale

Advanced prompt engineering patterns
Fine-tuning and model customization
Function calling and tool integration
Retrieval-Augmented Generation (RAG) architecture
Model evaluation and performance metrics
Deployment and scaling strategies

Participants who successfully complete the training will receive a ProgNXT Certification in Advanced LLM Development with OpenAI Training Course, validating their expertise in advanced prompt engineering, fine-tuning, function calling, RAG, and production deployment of LLM applications.
This certification demonstrates proficiency in building and scaling OpenAI-powered solutions.

Advanced Prompt Engineering and Context Management

Crafting multi-turn prompts for complex reasoning
Using system messages and user roles effectively
Techniques for managing token limits and context windows
Dynamic prompt templates for variable inputs

Hands-on exercises

Fine-Tuning and Model Customization

Preparing and formatting datasets for fine-tuning
Running fine-tuning jobs with OpenAI API
Evaluating fine-tuned model performance
Best practices for versioning and iterating models

Hands-on exercises

Function Calling and Tool Integration

Defining function schemas for API interactions
Handling function call responses in chat completions
Building a multi-tool assistant for data retrieval
Error handling and retry logic in tool use

Hands-on exercises

Retrieval-Augmented Generation (RAG)

Architecting RAG pipelines with vector databases
Embedding documents and querying relevant chunks
Integrating retrieval with OpenAI chat completions
Optimizing chunk size and overlap for accuracy

Hands-on exercises

Model Evaluation and Iteration

Defining quality metrics: accuracy, relevance, safety
Building automated evaluation datasets
Using human feedback loops for continuous improvement
Versioning prompts and models for A/B testing

Hands-on exercises

Production Deployment and Scaling

Setting up API gateways and rate limiting
Implementing caching strategies for cost efficiency
Monitoring latency, throughput, and error rates
Securing API keys and managing access controls

Hands-on exercises

Advanced Use Cases and System Design

Building multi-agent systems with OpenAI
Designing conversational AI with memory and state
Integrating LLMs with existing enterprise systems
Ethical considerations and bias mitigation

Hands-on exercises

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Target Audience: This course is intended for software developers, data scientists, and AI engineers with prior experience in Python and basic ML concepts who want to advance their skills in building LLM-based applications.

Evaluation: Participants will be assessed through practical hands-on exercises, a capstone project, and a knowledge check to ensure they can apply the concepts learned.

Advanced LLM Development with OpenAI Training Course Events in new-york

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

26th Oct 2026→27th Oct 2026

November 2026

🌐 Online Instructor-Led

1st Nov 2026→2nd Nov 2026

📍 New York, USA

11th Nov 2026→12th Nov 2026

📍 New York, USA

26th Nov 2026→27th Nov 2026

🌐 Online Instructor-Led

27th Nov 2026→28th Nov 2026

December 2026

📍 New York, USA

8th Dec 2026→9th Dec 2026

🌐 Online Instructor-Led

10th Dec 2026→11th Dec 2026

🌐 Online Instructor-Led

21st Dec 2026→22nd Dec 2026

📍 New York, USA

27th Dec 2026→28th Dec 2026

Events for other courses in New York, USA

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Advanced LLM Development with OpenAI Training Course in New York