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Generative AI for Developers Certification Course

Build Intelligent AI Applications with Large Language Models

Learn how to design, develop, and deploy next-generation AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern AI frameworks. This hands-on certification program equips developers with practical skills to build production-ready Generative AI solutions.

✔ Instructor-Led Training

✔ Hands-On Projects

✔ Industry Use Cases

✔ Certification Included

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    Course Overview

    Course Image

    Generative AI is transforming the way organizations build intelligent applications, automate workflows, and deliver personalized customer experiences.

    This course provides a practical approach to developing Generative AI solutions using modern tools such as OpenAI, LangChain, Pinecone, Hugging Face, LlamaIndex, Claude, and Mistral.

    Participants will learn Prompt Engineering, RAG implementation, AI Agent development, Vector Databases, and enterprise deployment strategies through real-world projects and labs.

    By the end of this course, learners will be able to build scalable AI applications capable of reasoning, retrieving knowledge, and automating complex business tasks.

    Course Distinction

    What makes our course unique?

    Learn Industry-Relevant Generative AI Skills

    Learn Industry-Relevant Generative AI Skills

    Master the technologies and frameworks that power modern AI applications across industries.

    Expert-Led Practical Training

    Expert-Led Practical Training

    Learn from AI practitioners with hands-on experience building enterprise-grade Generative AI solutions.

    Hands-On Development

    Hands-On Development

    Build real-world AI applications using OpenAI, LangChain, Pinecone, and Agentic AI frameworks.

    Enterprise-Focused Learning

    Enterprise-Focused Learning

    Understand how organizations deploy, secure, and scale Generative AI applications in production environments.

    Course Content

    • Fundamentals of Generative AI
    • Evolution of Large Language Models
    • Business Applications of Generative AI
    • Understanding LLM Architectures

    • Prompt Design Principles
    • Zero-Shot and Few-Shot Learning
    • Chain of Thought Prompting
    • Prompt Optimization Techniques

    • OpenAI Models and APIs
    • Claude and Mistral Models
    • Open Source Models (Llama)
    • Model Selection Strategies

    • Embeddings and Semantic Search
    • Vector Databases
    • Pinecone Integration
    • Knowledge Retrieval Systems

    • LangChain Fundamentals
    • LlamaIndex
    • Hugging Face Ecosystem
    • Workflow Automation

    • Agent Architectures
    • Tool Calling
    • Multi-Agent Systems
    • Autonomous Decision Making

    • Model Evaluation
    • Monitoring and Governance
    • Security and Responsible AI
    • Production Deployment

    Capstone Project

    Build an enterprise-grade AI Assistant capable of answering questions, retrieving knowledge, interacting with tools, and automating business workflows.

    Key Features

    • arrow Instructor-led interactive sessions
    • arrow Real-world case studies
    • arrow Hands-on AI application development
    • arrow Industry-recognized certification
    • arrow Access to learning resources
    • arrow Capstone project

    Skills Covered

    • Generative AI Development
    • Prompt Engineering
    • Large Language Models (LLMs)
    • LangChain
    • LlamaIndex
    • OpenAI API Integration
    • Pinecone Vector Database
    • Retrieval-Augmented Generation (RAG)
    • AI Agents
    • Enterprise AI Deployment

    Advancements

    Generative AI is one of the fastest-growing technology domains, creating strong demand for professionals skilled in LLM application development.

    • Generative AI Developer • AI Engineer • LLM Engineer • AI Solutions Architect • Machine Learning Engineer • AI Product Developer

    Professionals with expertise in Generative AI and AI Agents command premium salaries due to the rapid adoption of AI across industries.

    Business Impact

    FAQ?

    Generative AI refers to AI systems capable of creating text, images, code, and other content using advanced machine learning models.

    Basic knowledge of Python is recommended but not mandatory.

    Participants will work with OpenAI, LangChain, Pinecone, Hugging Face, LlamaIndex, Claude, and Mistral.

    Yes, participants will receive an industry-recognized Generative AI Certification.

    Customized Corporate Training

    We also provide corporate training programs tailored to organizations looking to implement Generative AI solutions.

    ✔ Custom curriculum

    ✔ Industry-specific use cases

    ✔ Flexible delivery models

    ✔ Enterprise consulting support

    Who Should Attend

    Software Developers

    Data Scientists

    AI Engineers

    Machine Learning Engineers

    Solution Architects

    IT Professionals

    Product Managers

    ETL/ELT Pipelines using Azure Data Factory Certification Course

    Build the Future with Generative AI

    Become a specialist in AI-powered application development and intelligent automation.

    ✔ Learn from industry experts

    ✔ Build real AI projects

    ✔ Earn certification

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