Conversational AI Systems

An advanced course on dialogue design in an interactive context, covering character design, player involvement, the dramatics of dialogue, and a study on writing antagonists.

In this project-based course, students work to develop and evaluate a conversational system using a scientific approach, covering technologies like natural language processing and speech technology.

This course provides an in-depth understanding of conversational systems from both a theoretical and practical perspective. Topics include natural language processing, speech technology, multi-modal interfaces, and large language models.

Ready for an electrifying plunge into the universe of language technology? Prepare to enter the thrilling realm of LangChain with "LangChain 101 for Beginners (OpenAI / ChatGPT / LLM Ops)", where you'll be taught how to harness the power of LangChain and Large Language Models (LL Ms) to build your very own Python applications.Our aim for this course is simple - to equip you with everything you need to embark on your LangChain adventure. You'll be walked through using different LL Ms from industry giants OpenAI and Hugging Face, understand the magic of calling prompts, creating templates, and chaining these prompts together to create a robust, interactive system.But that's not all! We’ll dive into the heart of conversational chatbots and explore how memory works within LangChain. We'll wrap things up with a detailed tutorial on how you can apply these impressive LL Ms to your own documents.This course isn’t just informative—it’s also seriously fun. Through the use of memes, real-world analogies, and an engaging, down-to-earth approach, we've designed this course to be an enjoyable journey into the world of LangChain.Say goodbye to those long, never-ending courses that are all fluff and no substance. This course is compact, to-the-point, and perfect for Python developers looking for a fast-track introduction to LangChain and LL Ms. We know your time is precious, so we've packed all the essential information into one power-packed hour."LangChain 101 for Beginners" is your golden ticket to understanding and implementing LangChain. By the end of this course, you'll not only have a comprehensive understanding of LangChain, but also be ready to dive headfirst into your next project with a newfound arsenal of skills and knowledge.Don't wait—let's start scripting the future, together. Let’s dive into the incredible world of LangChain and Large Language Models, and have some fun along the way!

Unlock the potential of Generative AI with our comprehensive course, "Gen AI Masters 2025 - From Python To LL Ms and Deployment" This course is designed for both beginners and seasoned developers looking to deepen their understanding of the rapidly evolving field of artificial intelligence.Learn how to build Generative AI applications using Python and LL Ms. Understand prompt engineering, explore vector databases like FAISS, and deploy real-world AI chatbots using RAG architecture.In this course, you will explore a wide range of essential topics, including:Python Programming: Learn the fundamentals of Python, the go-to language for AI development, and become proficient in data manipulation using libraries like Pandas and Num Py.Natural Language Processing (NLP): Dive into the world of NLP, mastering techniques for text processing, feature extraction, and leveraging powerful libraries like NLTK and Spa Cy.Deep Learning and Transformers: Understand the architecture of Transformer models, which are at the heart of many state-of-the-art AI applications. Discover the principles of deep learning and how to implement neural networks using TensorFlow and PyTorch.Large Language Models (LL Ms): Gain insights into LL Ms, their training, fine-tuning processes (including PEFT, LoRA, and QLoRA), and learn how to effectively use these models in various applications, from chatbots to content generation.Retrieval-Augmented Generation (RA Gs): Explore the innovative concept of RAG, which combines retrieval techniques with generative models to enhance AI performance. You'll also learn about RAG evaluation methods, including the RAGAS framework, BLEU, ROUGE, BAR Score, and BERT Score.Prompt Engineering</str

Unlock the Power of AI with LangChain: Learn to Create Revolutionary Language-Based Applications Looking to harness the full potential of AI and revolutionize the world of language-based applications? Look no further than LangChain, the comprehensive course designed to transform you from a novice to an expert in record time.Gen AI apps and LLM projects! Dive into hands-on projects that will shape your expertise, including:Project 1: Construct a dynamic question-answering application with the unparalleled capabilities of LangChain, OpenAI, and Hugging Face Spaces,&nbsp; Google Gemini Pro .Project 2: Develop an engaging conversational bot using LangChain and OpenAI to deliver an interactive user experience.Project 3: Create an AI-powered app tailored for children, facilitating the discovery of related classes of objects and fostering educational growth.Project 4: Build a captivating marketing campaign app that utilizes the persuasive potential of well-crafted sales copy, boosting sales and brand reach.Project 5: Develop a ChatGPT clone with an added summarization feature, delivering a versatile and invaluable chatbot experience.Project 6: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and Pinecone.Project 7: CSV Data Analysis Toll - Helps you analyze your CSV file by answering your queries about its data.Project 8: Youtube Script Writing Tool -&nbsp; Effortlessly create compelling You Tube scripts with this user-friendly and efficient script-writing tool.Project 9 - Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them. Project 10 - Automatic Tick

Welcome to the "Mastering AI Conversations: ChatGPT 2025 Masterclass" on Udemy, where you will learn how to build intelligent chatbots and conversational agents that can engage in natural language conversations with humans.In this course, you will be taught by ChatGPT, a large language model trained by OpenAI, which has been developed to understand and respond to human language in a way that is natural and intuitive.Throughout the course, ChatGPT will guide you through the basics of natural language processing (NLP) and machine learning (ML), and show you how to build and train your own chatbot using the latest AI technologies.You will learn how to design conversational flows, handle user inputs, and generate responses that are both informative and engaging. You will also gain a deep understanding of the underlying technologies that power modern chatbots, such as neural networks, sequence-to-sequence models, and attention mechanisms.By the end of the course, you will have the skills and knowledge necessary to build your own AI-powered chatbot that can converse with users on a wide range of topics, from customer support to personal assistants.So if you're ready to take your AI conversational skills to the next level, enroll in the "Mastering AI Conversations: ChatGPT 2025 Masterclass" today and start building your own intelligent chatbot!

This course leverages the power of both LangChain and Llama Index frameworks, along with OpenAI GPT and Google Gemini AP Is, and Vector Databases like ChromaDB and Pinecone. It is designed to provide you with a comprehensive understanding of building advanced LLM RAG applications through in-depth conceptual learning and hands-on sessions. The course covers essential aspects of LLM RAG apps, exploring components from both frameworks such as Agents, Tools, Chains, Memory, Query Pipelines, Retrievers, and Query Engines in a clear and concise manner. You'll also delve into Language Embeddings and Vector Databases, enabling you to develop efficient semantic search and similarity-based RAG applications. Additionally, the course covers various Prompt Engineering techniques to enhance the efficiency of your RAG applications.List of Projects/Hands-on included: Develop a Conversational Memory Chatbot using downloaded web data and Vector DB Create a CV Upload and Semantic CV Search App Invoice Extraction RAG App Create a Structured Data Analytics App that uses Natural Language Queries Re Act Agent: Create a Calculator App using a Re Act Agent and Tools Document Agent with Dynamic Tools: Create multiple Query Engine Tools dynamically and orchestrate queries through Agents Sequential Query Pipeline: Create Simple Sequential Query PipelinesDAG Pipeline: Develop complex DAG Pipelines Dataframe Pipeline: Develop complex Dataframe Analysis Pipelines with Pandas Output Parser and Response Synthesizer Working with SQL Databases: Develop SQL Database ingestion Bot Create a FAST&nbsp;API for your LangChain Application just

2026 Upgrade: Course completely re-recorded with LangChain v1 and Lang Graph v1.All projects, agents, tools, and RAG pipelines rebuilt from scratch.Perfect for developers, AI engineers, and serious learners who want production-grade GenAI skills.This course is a comprehensive, practical guide to integrating LangChain v1 (latest release) and Ollama to build, automate, and deploy production-ready AI applications. Updated with the newest technologies and frameworks, you'll learn to set up these cutting-edge tools, create advanced prompt templates, build autonomous AI agents, implement RAG (Retrieval-Augmented Generation) systems, and deploy real-world applications on AWS. Each section is designed to provide you with hands-on skills and real-world experience with the latest AI development practices.What You Will Learn1. Ollama &amp; LangChain Setup Complete installation and configuration of Ollama and LangChain Work with the latest models: GPT-OSS, Gemma3, Qwen3, Deep Seek R1, and LLAMA 3.2Master Ollama commands, custom model creation, and raw API integration Configure local LLM environments for optimal performance2. Advanced Prompt Engineering Design effective AI, human, and system message prompts Use Chat Prompt Template and Messages Placeholder for dynamic conversations Master the invoke method and structured prompt patterns Implement best practices for prompt tuning and optimization3. LCEL Chains for Workflow Automation Build Sequential, Parallel, and Router Chains with LangChain Expression Language (LCEL)Create custom chains using Runnable Lambda and Runnable Passthrough Implement chain decorators for simplified workflow automation Design conditio

Are you ready to learn how to build powerful and AI-supported chatbots from scratch?there are a lot of courses out there that teach you how to develop chatbots. So what makes this course DIFFERENT?We're NOT going to use any cloud-based chatbot solutions like Dialogflow, IBM Watson, or Microsoft Azure. Instead, we'll be focusing on free and open-source technologies that are just as robust and powerful.We're NOT just going to talk only about the basics of chatbot development. We’re going to dive deeply into this world.This course is full of project-based tutorials. A lot of techniques will be derived via developing a set of chatbot projects Chatbots are everywhere and are becoming an increasingly important part of our daily lives. They're used for a wide range of applications, from customer service to online shopping, and they're only getting more advanced and sophisticated.In the course, we delve into the different types of chatbots and their use cases, including rule-based chatbots, AI-powered chatbots, and conversational AI. We also cover the various technologies and platforms that are used to build chatbots, such as natural language processing (NLP), machine learning (ML), and chatbot development open-source projects like Botpress, Set Fit, GLiNER, Transformers, LangChain, fastAPI, Docker, and more.In this course, you will learn:How to Setup Your Development Environment Tools How to Install and start your first Botpress project You will Understand what the conversation flow studio is Develop the different types of chatbot response templates You will learn how

Are you interested in harnessing the power of AI to create groundbreaking language-based applications? Look no further than LangChain and Gen AI - a comprehensive course that will take you from a novice to an expert in no time. Implement Generative AI (GenAI) apps with LangChain framework using different LL Ms.By implementing AI applications powered with state-of-the-art LLM models like OpenAI and Hugging Face using Python, you will embark on an exciting project-based learning journey.With LangChain, you will gain the skills and knowledge necessary to develop innovative LLM solutions for a wide range of problems.Here are some of the projects we will work on:Project 1: Construct a dynamic question-answering application with the unparalleled capabilities of LangChain, OpenAI, and Hugging Face Spaces.Project 2: Develop an engaging conversational bot using LangChain and OpenAI to deliver an interactive user experience.Project 3: Create an AI-powered app tailored for children, facilitating the discovery of related classes of objects and fostering educational growth.Project 4: Build a captivating marketing campaign app that utilizes the persuasive potential of well-crafted sales copy, boosting sales and brand reach.Project 5: Develop a ChatGPT clone with an added summarization feature, delivering a versatile and invaluable chatbot experience.Project 6: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and Pinecone.Project 7: CSV Data Analysis Toll - Helps you analyze your CSV file by answering your queries about its data.Project 8: Youtube Script Writing Tool -&nbsp; Effortlessly create compelling You Tube scripts with this user-friendly and efficient script-writing tool.Project

Discover the future of voice technology in "Voicecraft: Mastering AI Voices and Beyond." This comprehensive course takes you on a captivating journey through the dynamic world of AI-generated voices, unveiling the secrets of ChatGPT, 11 Labs AI, and Adobe Podcast AI.In the realm of ChatGPT, you'll delve into the magic of language generation, learning how to craft realistic conversations and harness its AI capabilities for voice synthesis. From content creators to businesses, ChatGPT's prowess in natural language understanding will redefine the way you communicate.11 Labs AI invites you to explore the art of voice cloning, enabling you to create your own AI voice clones with precision. Delve into the ethical considerations and craft voices that resonate with your brand's identity.Adobe Podcast AI will empower you to create seamless audio experiences. You'll learn to integrate AI voices into your podcasts, advertisements, and brand promotions. Understand the nuances of voiceovers and elevate your storytelling to new heights.This course is for:Content Creators: Bloggers, You Tubers, podcasters, and writers seeking to enhance their content with AI voices.Marketers: Digital marketing professionals interested in using AI voices for ads, promotions, and branding.Voiceover Artists: Voice professionals looking to expand their services with voice cloning and AI voices.Developers: Software developers aiming to integrate AI voices into applications and websites.Business Owners: Entrepreneurs seeking to leverage AI voices for customer service and marketing.Language Enthusiasts: Individuals interested in creating language learning tools and translation services with AI voices.AI Enthusiasts: Those curious about the potent

Welcome to the ultimate ChatGPT and Python Data Science course—your golden ticket to mastering the art of data science intertwined with the latest AI technology from OpenAI.This course isn't just a learning journey—it's a transformative experience designed to elevate your skills and empower you with practical knowledge.With AI's recent evolution, many tasks can be accelerated using models like ChatGPT. We want to share how to leverage AI it for data science tasks.Embark on a journey that transcends traditional learning paths. Our curriculum is designed to challenge and inspire you through:Comprehensive Challenges: Tackle 10 concrete data science challenges, culminating in a case study that leverages our unique 365 data to address genuine machine learning problems.Real-World Applications: From preprocessing with ChatGPT to dissecting a furniture retailer's client database, explore a variety of industries and data types.Advanced Topics: Delve into retail data analysis, utilize regular expressions for comic book analysis, and develop a ChatGPT-powered movie recommendation system. Engage with such critical topics as AI ethics to combat biases and ensure data privacy.This course emphasizes practical application over theoretical knowledge, where you will:Perform dynamic sentiment analysis using a Naïve Bayes algorithm.Craft nuanced classification reports with our proprietary data.Gain hands-on experience with real datasets—preparing you to solve complex data science problems confidently.We’ll be using ChatGPT, Python, and Jupyter Notebook throughout the course, and I’ll link all the datasets, Notebooks for you to play around with on your own.I'll help you create a ChatGPT profile, but I’ll assume you're adept in Python and somewhat experienced in machine learning. Are you ready to dive into the