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CoursesLearn AiOpen Ai API
Learn Ai
Open Ai API
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.
5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

What is Open Ai API?
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.
Training Plan

About trainer

Working professional who is carrying more then 10 years of industry experience.

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

Open Ai API Course Curriculum
.

Introduction to OpenAI API
Section 1

Learn the fundamentals and setup of the OpenAI API.
API Overview
API Keys & Authentication
Playground Basics
Rate Limits & Pricing
Best Practices
.

API Setup & Authentication
Section 2

Learn how to set up an OpenAI account, generate API keys, and authenticate securely for project usage.
Account Setup
API Keys
Environment Variables
Authentication
.

Working with GPT Models
Section 3

Explore GPT-based models for natural language understanding, text generation, and conversational AI.
Text Completion
Chat Models
Role-based Messages
Context Handling
.

Prompt Engineering Techniques
Section 4

Master prompt design strategies to improve accuracy, creativity, and reliability of AI responses.
Prompt Structuring
Few-shot & Zero-shot
Chain of Thought
Instruction Tuning
.

Embeddings & Semantic Search
Section 5

Use OpenAI’s embedding models for similarity search, clustering, and recommendation applications.
Embedding Models
Text Similarity
Semantic Search
Vector Databases
.

Fine-tuning & Customization
Section 6

Learn how to fine-tune OpenAI models for domain-specific tasks and improve performance on custom datasets.
Fine-tuning Basics
Dataset Preparation
Training & Validation
Model Deployment
.

Building Applications with OpenAI API
Section 7

Integrate OpenAI API into real-world applications such as chatbots, assistants, and automation tools.
Chatbot Development
Knowledge Assistants
Document Processing
Workflow Automation
.

OpenAI API for Code & Automation
Section 8

Leverage Codex and other code-related models to build tools for programming assistance and automation.
Code Completion
Bug Fixing
Documentation Generation
Script Automation
.

Multimodal AI with OpenAI
Section 9

Explore image, audio, and text integration with OpenAI’s multimodal models for advanced use cases.
Image Generation (DALL·E)
Speech-to-Text (Whisper)
Text-to-Speech
Multimodal Fusion
.

API Rate Limits & Optimization
Section 10

Learn best practices for handling API rate limits, token usage, and cost optimization.
Token Management
Rate Limiting
API Efficiency
Cost Control
Key Projects
Open Ai API
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.

Open Ai API – Associate Training Program

Category
Associate
Exam Name:
Open Ai API – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Google Review
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Google Review
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Panchsheel Gautam
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Frequently Asked Questions (FAQs)

What can I build with the OpenAI API after this course?

You can make chatbots, semantic search engines, AI content creators, voice-to-text apps, and assistants that are very good at specific tasks. This course makes sure you learn both the theory and how to do projects.

What is the OpenAI API?

The OpenAI API provides access to advanced language models like GPT for tasks such as text generation, summarization, and question answering. It allows businesses and developers to integrate AI into their applications. TechPratham offers step-by-step training on OpenAI API with practical implementation projects.

How do I get started with the OpenAI API?

You can sign up on the OpenAI platform, generate an API key, and start making requests through REST or Python SDK. The setup is quick and beginner-friendly. TechPratham provides guided labs to help learners set up and use the API effectively.

What are the common use cases of the OpenAI API?

he API is widely used for chatbots, content generation, data analysis, translation, and coding assistance. Its flexibility makes it suitable across industries. TechPratham ensures learners explore multiple use cases with real-world scenarios.

Is the OpenAI API beginner-friendly?

Yes, the API is designed to be developer-friendly with simple request-response methods. Even those with basic programming knowledge can get started quickly. TechPratham structures training so beginners can easily build and deploy AI solutions.

How does OpenAI API handle large-scale projects?

The API supports scalability with rate limits and enterprise-level solutions. It can integrate with cloud platforms for large-scale deployments. TechPratham provides training on managing scalability and performance optimization in projects.

What programming languages can I use with the OpenAI API?

The OpenAI API supports multiple languages like Python, JavaScript, Java, and C# through RESTful endpoints. This flexibility makes integration easier. TechPratham demonstrates multi-language implementation in practical projects.

What are the pricing models for the OpenAI API?

Pricing is typically usage-based, depending on tokens processed by the model. Different models (GPT-3.5, GPT-4, etc.) have varied costs. TechPratham explains pricing structures and teaches learners how to optimize API usage.

Can I fine-tune models with the OpenAI API?

Yes, OpenAI allows fine-tuning for domain-specific needs, making outputs more relevant. Fine-tuning requires datasets and proper training workflows. TechPratham guides learners in fine-tuning models and applying them to business cases.

What security measures does OpenAI API provide?

OpenAI uses encrypted connections, secure authentication, and data-handling policies to protect users. Responsible AI practices are emphasized. TechPratham trains learners to implement API securely in real-world applications.

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