CONTACT FOR DEMO CLASS : (+91) 8951869553/52
CONTACT FOR DEMO CLASS : (+91) 8951869553/52
Course Start Date: 18th Decemeber 2025
Participants will learn to build AI-ready APIs, leverage LLMs for backend automation, and create seamless, intelligent integrations with modern AI tools.
Learn how to design APIs that are optimized for AI interaction, ensuring low latency and high scalability for intelligent agents.
Discover how to securely integrate Large Language Models (LLMs) into your backend workflows to automate complex business logic.
Master techniques for real-time data synchronization and processing using AI-driven event-based architectures and intelligent middleware.
Our micro-sessions are designed to give you actionable skills you can use in your API development projects immediately.
In this specialized session, backend developers and software architects will learn how to build AI-ready APIs and integrate Large Language Models (LLMs) into their existing systems. The micro session focuses on designing intelligent middleware, managing asynchronous AI workflows, and ensuring secure and scalable integrations.
Participants will explore AI-driven tools for API design, automated documentation, and intelligent data mapping. By the end of this session, you will have the skills to leverage AI for building smarter endpoints, automating complex integrations, and creating more responsive backend architectures, significantly reducing development time and enhancing system capabilities.
EarlyRise's Building Intelligent APIs and Integrations Micro Session Key Features
Build AI-driven endpoints up to 50% faster
Seamlessly integrate LLMs into production backends
Master intelligent data mapping and transformation
Implement secure prompt-as-a-service architectures
Modernize legacy systems with AI-powered middleware
Future-proof your career as an AI Integration Expert
Customized to your team's needs
Key Learning Objective: Setting up AI-ready development environments and integrating LLM SDKs for backend workflows.
Key Learning Objective: Crafting system prompts for data extraction, transformation, and intelligent routing.
Key Learning Objective: Designing REST/GraphQL APIs optimized for AI agent consumption and streaming responses.
Key Learning Objective: Using LLMs to normalize and enrich API requests and responses in real-time.
Key Learning Objective: Implementing AI logic that can intelligently interact with other internal services and databases.
Key Learning Objective: Integrating Vector Databases (Pinecone, Chroma) for context-aware AI integrations.
Key Learning Objective: Managing long-running AI tasks using message queues (RabbitMQ, Redis) and background workers.
Key Learning Objective: Monitoring AI API performance, token usage, and implementing guardrails for safe AI integrations.
4 Hours
4 Hours
Upon successful completion of the course, participants will receive a certificate from EarlyRise. This certificate is widely recognized and signifies that the holder has acquired specialized skills and knowledge in Building Intelligent APIs and Integrations. It serves as a testament to their expertise and is valued by industry professionals and employers.
Get In Touch
Our team will be happy to assist you make the right decision
Leading industry professionals who bring current best practices and case studies to sessions that fit into your work schedule.
Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.
This session is ideal for backend developers, software architects, full-stack engineers, and technical leads who want to integrate AI capabilities into their APIs and services.
No prior experience with AI is required. A solid understanding of backend development and RESTful APIs is recommended. The session is designed to bridge the gap between traditional backend engineering and AI integration.
You will be able to design AI-ready API endpoints, integrate LLMs like GPT-4 and Claude into your workflows, and build intelligent middleware that can handle complex data transformations and agentic interactions.
It is 100% practical. You will work on live coding exercises, real-world integration use cases, and guided activities using AI SDKs, Vector Databases, and modern backend frameworks.
Yes. Participants receive a curated library of AI integration patterns, prompt templates for structured backend outputs, and a guide on deploying AI-powered services.
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