
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.
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.
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.
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.
Learn to create an OpenAI API key on platform.openai.com by signing up with an email, managing billing and balance, then generating and saving a secret API key for your project.
Learn how to set up the Pinecone vector database, generate an API key, and configure embeddings, indexing, and similarity metrics to enable efficient retrieval for RAG tasks.
Explore how the whisper API enables high-accuracy Hindi to English translation by transforming speech to text, with preprocessing, audio formatting, and cloud-based multilingual capabilities for real-world use.
Code a hindi-to-english voice translation workflow in Colab using OpenAI and the Whisper model, including installing the package, configuring the API key, and translating an audio file.
Explore AI-driven insights from an art feedback generator that analyzes artwork and provides objective critiques of composition, color, technique, emotional impact, and aesthetic meaning via OpenAI API, base64 encoding.
Walk through building an image-based artwork analyzer with OpenAI, encoding images to base64, and generating feedback on composition, color, techniques, and overall impact.
Learn to use the OpenAI API and LangChain to analyze telescope images with an AI vision model for asteroid danger detection, employing image analysis, data mining, and trajectory predictions.
Explains using the OpenAI vision model to analyze an asteroid image, encoding it with base64, and describing its structure, shape, composition, and potential danger to Earth.
Learn how to analyze facial features with vision models and generate personalized enhancement suggestions using the OpenAI API and DALL-E 3 for multimodal cosmetic visualization.
Analyze facial images with the OpenAI vision model to suggest realistic enhancements that preserve unique features, then generate a refined portrait with Dall-E 3 based on those suggestions.
Leverage Whisper from OpenAI and DALL-E 3 to translate Hindi audio to English text and generate high-quality images from prompts, with configurable output size, format, and edits for multimodal applications.
Learn to translate Hindi audio to English text using whisper, then generate an image from the translated text with DALL-E 3, and download the resulting image.
Capture your mood with a camera using OpenCV, analyze facial expressions via a vision model, then generate a personalized joke with OpenAI to brighten your day.
Capture an image with OpenCV, encode it in base64, and analyze it with the OpenAI GPT-4 vision model to generate an uplifting mood-based joke. The demo prints the response.
Explore using artificial intelligence as a personal therapist by capturing face and voice with OpenCV and Whisper, analyzing emotions with GPT-4 vision, and generating a personalized emotional state report.
Develop a psychologist-style analysis tool using OpenAI vision and whisper models to analyze facial expressions and voice for emotional state, behavior indicators, and psychological patterns.
Develop an ai-powered suicide prevention support system that analyzes user messages with natural language processing to provide empathetic responses and direct links to 24/7 crisis resources.
Demonstrate a code workflow using a compassionate system prompt and ChatGPT API to guide distressed users toward professional crisis resources, including US crisis lines, text lines, and a website.
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.