Applied Generative AI for Developers Course | Learn to Build AI Apps
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Live Project

1 Project

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Training Format

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Applied Generative AI for Developers: Build Intelligent AI-Powered Applications
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            Applied Generative AI for Developers: Build Intelligent AI-Powered Applications

Mobile Automation Testing Course Using Appium

Instructor:

Jeremy Cioara

Categories:

Career Advice

Duration

48 hours

Generative AI is transforming how developers design and build modern applications. With Applied Generative AI, developers can automate repetitive tasks, create intelligent assistants, generate content dynamically, and improve productivity across software systems. This technology enables seamless integration of AI capabilities into applications using APIs, frameworks, and cloud platforms. Developers learn prompt engineering, model integration, data handling, and deployment strategies to build scalable AI solutions. By leveraging Generative AI, organizations can accelerate development cycles, enhance customer engagement, and unlock new innovation opportunities. This course equips developers with the technical expertise and practical knowledge required to implement AI-powered features and stay competitive in the evolving technology landscape.

Education introduction

Section 1

  • Using Generative AI APIs in Real Applications
    • Integrating LLM APIs into backend systems
    • API authentication and secure usage
    • Chat and completion requests
    • Controlling outputs using parameters
    • Structured JSON outputs
    • Streaming responses and function calling

Section 2

  • Prompt Engineering for Reliable Outputs
    • Writing effective system prompts 
    • Reducing hallucinations
    • Structured output enforcement
    • Multi-step reasoning prompts
    • Role-based AI behavior
    • Prompt injection protection

Section 3

  • Building AI-Powered Backend Systems
    • FastAPI integration 
    • Chatbot architecture design 
    • Database storage for chat history 
    • Token management and rate limiting 
    • Error handling and logging 
    • Production-ready backend design

Section 4

  • Retrieval Augmented Generation (RAG)
    • Generating embeddings
    • Document chunking strategies 
    • Semantic search implementation 
    • Vector database integration 
    • Knowledge base updates 
    • Building PDF upload and query system

Section 5

  • AI Agents and Automation
    • Function calling 
    • API interaction through AI 
    • Database queries using AI 
    • Workflow automation 
    • Multi-step task execution
  • Production Deployment and Scaling
    • Microservice architecture 
    • Async background processing 
    • Caching AI responses 
    • Usage tracking and monitoring 
    • Secure API key management 
    • Cloud deployment strategies

Section 6

  • Cost Optimization and Security
    • Token usage optimization 
    • Model selection strategy 
    • Response caching 
    • Rate limiting and abuse prevention 
    • Handling sensitive data securely
  • Capstone Project
    • Authentication system 
    • Chat interface development 
    • File upload functionality 
    • RAG integration 
    • Usage tracking system 
    • Cloud deployment
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HEMENDRA SINGH

Technical Lead

Hemendra is currently working as Technical Lead in Askme Technologies. Prior to join Askme Technologies, He worked as a team lead in db digital. My specialization in Core PHP, Node js , Python, React JS, mongoDB , Laravel, Google Cloud Platform- GCP,AWS. I believe in dedication and self motivation.I have worked as a team lead in db digital. I believe in dedication and self motivation.

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