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GenAI Master Projects for Beginners: OpenAI, Langchain & RAG
Rating: 4.1 out of 5(16 ratings)
2,132 students

GenAI Master Projects for Beginners: OpenAI, Langchain & RAG

Develop Expertise by Doing Hands-on Projects on SOTA using OpenAI, Langchain, Dall-E, PineconeDB and RAG Apps
Last updated 8/2025
English
English [Auto],

What you'll learn

  • Master Hindi speech-to-English text conversion using advanced AI models.
  • Utilize vision models to provide unbiased feedback to artists.
  • Develop AI systems for detecting and alerting about potential asteroid threats.
  • Create facial beauty enhancement applications leveraging OpenAI technologies.
  • Transform audio inputs into visual representations using AI creativity tools
  • Design AI-driven applications that generate mood-based jokes.
  • Build personal therapy chatbots utilizing large language models.
  • Implement AI systems aimed at suicide prevention and mental health support.
  • Develop retrieval-augmented generation applications for medical information bots.
  • Integrate OpenAI's DALL-E and LangChain into comprehensive GenAI projects

Course content

12 sections26 lectures3h 25m total length
  • Introduction to the Course and Welcome Message2:09

    Master generative AI with real-world projects using OpenAI, Dall-E, Langshan, and pinecone DB. Build a portfolio through nine hands-on projects, from speech-to-text to AI-powered mental health tools.

  • Introduction to OpenAI, Langchain, Dall-E and PineconeDB2:30

    Explore OpenAI's language models, Langshan for integrating external data, Dall-E for image generation, and pinecone DB for vector search to build intelligent AI applications.

  • Introduction to Retrieval Augmented Generation and its Application1:54

    Explore retrieval augmented generation, which fuses generative ai with information retrieval to deliver up-to-date, domain-specific responses across healthcare, education, and legal and financial domains.

  • Project Details1:37

    Explore generative ai with OpenAI, Dall-E, Langshan, and Pinecone DB through projects. Develop ai applications like voice bridge, unbiased art feedback, ai personal therapist, and ai guardian for suicide prevention.

  • Paedagogy for this Course1:35

Requirements

  • Basic concept in Python Programming
  • Willingness to learn
  • Distraction free environment

Description

Embark on an immersive journey into the realm of advanced Generative AI with our comprehensive course, "Advanced GenAI Projects Using OpenAI, DALL-E, and Langchain." This curriculum is meticulously designed to equip learners with the skills to develop innovative AI applications across diverse domains.

Course Highlights:

  • Voice Bridge: Hindi Speech to English Text Conversion
    Develop a robust system that seamlessly translates Hindi speech into English text, enhancing cross-lingual communication.

  • Unbiased Artistic Feedback through Vision Models
    Leverage advanced vision models to provide impartial and constructive feedback to artists, fostering creativity and growth.

  • Asteroid Alert: AI for Space Threat Detection
    Create an AI-driven system capable of detecting and alerting about potential asteroid threats, contributing to planetary defense initiatives.

  • Facial Beauty Enhancement Applications with OpenAI
    Utilize OpenAI's capabilities to design applications that enhance facial aesthetics, offering personalized beauty solutions.

  • AudioVision: Transforming Sounds into Imagery with AI Creativity
    Innovate a platform that converts auditory inputs into visual representations, merging auditory and visual experiences.

  • SmileSense: Crafting Mood-Based Jokes with AI
    Develop an AI system that generates humor tailored to the user's current mood, enhancing user engagement and satisfaction.

  • AI Personal Therapist Using Large Language Models (LLM)
    Build a virtual therapist application powered by LLMs, providing accessible mental health support.

  • AI Guardian: Building a Suicide Prevention System
    Design an AI-driven system focused on suicide prevention, offering timely interventions and support.

  • Retrieval Augmented Generation (RAG) Application for Medical Bots
    Create a medical chatbot that utilizes RAG techniques to deliver accurate and contextually relevant information.

This course is tailored for individuals with a foundational understanding of Python, aiming to delve into the practical applications of Generative AI. By engaging with these projects, learners will gain hands-on experience in developing AI solutions that address real-world challenges.

Embark on this transformative learning experience to harness the power of Generative AI and make a tangible impact across various sectors.

Who this course is for:

  • AI Enthusiasts and Practitioners
  • Students and Educators
  • Developers and Programmers
  • Data Scientists and Machine Learning Engineers
  • Researchers and Academics