Learn how to use the OpenAI API with Techpratham to make smart apps that use AI. Learn how to use GPT, DALL·E, Whisper, and fine-tuning together to solve real-world problems.
Level
Advanced
Duration
8 weeks



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Techpratham's OpenAI API training gives you the skills you need to use the latest AI services. You'll learn by doing things like making text and embeddings, as well as working with images, audio, and fine-tuned models. The class covers things like authentication, rate limits, prompt engineering, and connecting to APIs. By the end, you'll know how to make, improve, and use AI-powered apps in a variety of fields.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to OpenAI API
Learn the fundamentals and setup of the OpenAI API.
API Setup & Authentication
Learn how to set up an OpenAI account, generate API keys, and authenticate securely for project usage.
Working with GPT Models
Explore GPT-based models for natural language understanding, text generation, and conversational AI.
Prompt Engineering Techniques
Master prompt design strategies to improve accuracy, creativity, and reliability of AI responses.
Embeddings & Semantic Search
Use OpenAI’s embedding models for similarity search, clustering, and recommendation applications.
Fine-tuning & Customization
Learn how to fine-tune OpenAI models for domain-specific tasks and improve performance on custom datasets.
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AI-Powered Chatbot for Customer Support
Use the Chat Completions API to make a chatbot that can answer frequently asked questions and customer questions. Use domain-specific prompts to teach it, add it to a website, and make it better at handling different situations and responding quickly.
Semantic Search Engine with Embeddings
Make a semantic search system with OpenAI embeddings and a vector database. Users can search through large sets of documents using natural language queries, which return results that are relevant to the context instead of just keyword matches.
AI Content Creator (Text + Image)
Make a tool that uses AI to make content that uses GPT for text and DALL·E for pictures. The system will create blog posts, social media captions, and images that go with them, showing how different types of AI can work together.

What can I build with the OpenAI API after this course?
What is the OpenAI API?
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How does OpenAI API handle large-scale projects?

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