Overview What You Will Learn Curriculum Instructor

Course Overview

Generative AI has rapidly evolved into one of the most impactful branches of artificial intelligence, enabling machines to create text, images, audio, and other forms of content with remarkable accuracy. As organizations adopt GenAI for automation, content creation, and intelligent applications, it is essential for professionals to understand how these models work and how they can be securely and efficiently deployed. This course provides a structured and practical introduction to modern GenAI systems, empowering learners to build, integrate, and deploy end-to-end applications.

This course begins with the foundations of Generative AI, covering core concepts, model types, and deployment challenges. You will then explore integration and deployment options, followed by designing and implementing APIs using FastAPI. The program continues with containerization using Docker, local deployment using Kubernetes, and hands-on projects including text summarization with Cohere, an AI chat application using Amazon Bedrock, and an audio transcription system powered by Assembly AI. The final modules guide you through building complete applications with Streamlit and deploying them across different environments.

By the end of this course, you will be equipped to build, integrate, and deploy Generative AI applications independently.

What You Will Learn

  • Deploy generative AI models in real-world applications with ease and efficiency.
  • Integrate APIs to enhance AI capability within custom applications.
  • Develop interactive applications using frameworks like Streamlit.
  • Containerize AI solutions using Docker for seamless deployment.
  • Master Kubernetes to scale and manage AI-based applications effectively.
  • Optimize generative AI workflows for performance and accuracy.
  • Build production-ready AI systems with robust development tools.
  • Understand advanced AI deployment strategies and best practices.

Program Curriculum

  • Overview of Generative AI and Its Applications
  • Types of Generative Models
  • Challenges in Deploying Generative AI Systems
  • Chapter 1 Quiz

  • GenAI Integration Options
  • GenAI Deployment Options
  • Selecting a Model Architecture
  • Chapter 2 Quiz

  • Overview of APIs
  • Create the FastAPI App
  • Designing APIs for AI Model Interaction
  • Frontend for Displaying Application
  • Chapter 3 Quiz

  • Introduction to Docker and Dockerfile
  • Setting Up the Environment
  • Creating and Running a Container for the Generative AI Model
  • Chapter 4 Quiz

  • Kubernetes Basics for AI Workloads
  • Creating Kubernetes Deployments for Generative AI Models
  • Applying the Deployment Configuration and POD Scaling
  • Chapter 5 Quiz

  • Setting Up the Environment
  • Create a Streamlit Application for Text Summarization
  • Run the App Locally for Testing
  • Selecting a Deployment Option
  • Deploy the Application
  • Chapter 6 Quiz

  • Set Up AWS Account and Permissions - Part 1
  • Set Up AWS Account and Permissions - Part 2
  • Build the Streamlit Frontend
  • Testing the Application Locally
  • Selecting the Deployment Option
  • Deploy the Chat Application
  • Chapter 7 Quiz

  • Setting Up the Environment
  • Designing the Application
  • Building the User Interface
  • Test the Application Locally
  • Choosing the Deployment Option
  • Deploying the Application
  • Chapter 8 Quiz

  • Setting Up the Environment
  • Building the Application
  • Handling User Questions
  • Building the Streamlit Interface
  • Testing the Application Locally
  • Deploying the Application
  • Recap of Key Concepts and Applications
  • Chapter 9 Quiz
Load more modules

Instructor

Meta Brains

Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for Coding, Finance & Excel. We bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, we're focused on the next great revolution in computing: The Metaverse. Our ultimate objective is to train the next generation of talent so we can code & build the metaverse together!

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