Building AI-Driven Apps: Master GenAI, LangChain, Vector DB, and GPT-4 Integration Training Logo

Building AI-Driven Apps: Master GenAI, LangChain, Vector DB, and GPT-4 Integration Training

Live Online & Classroom Enterprise Training

Building AI-driven apps involves leveraging Generative AI, LangChain, Vector Databases, and GPT-4 to create intelligent, context-aware applications. This integration enables advanced natural language processing, data retrieval, and automation for enhanced user experiences and decision-making.

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What is Building AI-Driven Apps: Master GenAI, LangChain, Vector DB, and GPT-4 Integration Course about?

This course provides hands-on experience in developing modern AI-driven applications by combining the power of Generative AI models (like GPT-4) with frameworks such as LangChain and Vector Databases (e.g., Pinecone, Chroma, FAISS). Participants will explore how to design intelligent workflows, connect LLMs to private data, and build applications capable of reasoning, retrieval, and contextual understanding. Through practical labs and projects, learners will gain the skills to create scalable, production-ready AI solutions for chatbots, recommendation engines, and autonomous agents.

What are the objectives of Building AI-Driven Apps: Master GenAI, LangChain, Vector DB, and GPT-4 Integration Course ?

  • Understand the core concepts of Generative AI and LLM-based architectures.
  • Integrate GPT-4 with LangChain and Vector Databases for advanced AI applications.
  • Design and build Retrieval-Augmented Generation (RAG) systems.
  • Deploy and scale AI-driven apps using APIs and modern cloud tools.
  • Develop real-world projects integrating AI into enterprise and consumer applications.

Who is Building AI-Driven Apps: Master GenAI, LangChain, Vector DB, and GPT-4 Integration Course for?

  • AI/ML Engineers and Data Scientists.
  • Full Stack and Backend Developers.
  • Product Managers working on AI product development.
  • Solution Architects and Innovation Leads.
  • Anyone interested in building applications powered by LLMs and Generative AI.

What are the prerequisites for Building AI-Driven Apps: Master GenAI, LangChain, Vector DB, and GPT-4 Integration Course?

Prerequisites:

  • Basic knowledge of Python programming.
  • Familiarity with APIs and data handling.
  • Understanding of Machine Learning and NLP fundamentals.
  • Experience with cloud platforms (Azure, AWS, or GCP) is helpful.
  • Curiosity to explore emerging AI frameworks and tools.

Learning Path:

  • Introduction to Generative AI and GPT-4 Fundamentals
  • Understanding LangChain Architecture and Components
  • Working with Vector Databases (Pinecone, FAISS, Chroma)
  • Building Retrieval-Augmented Generation (RAG) Pipelines
  • Deploying and Scaling AI Applications with GPT-4 and LangChain

Related Courses:

  • Generative AI and Prompt Engineering
  • Building LLM-Powered Chatbots with LangChain
  • AI for Product Managers
  • Machine Learning with Python

Available Training Modes

Live Online Training

4 Days

Course Outline Expand All

Expand All

  • What is Generative AI (GenAI)?
  • Overview of GPT-4 and its capabilities.
  • Applications of GenAI models: from conversational agents to content generation.
  • Setting up GPT-4 API access and integration.
  • Understanding natural language processing (NLP) with GPT-4.
  • Designing and implementing conversational agents using GPT-4.
  • Handling user input and generating dynamic responses.
  • Fine-tuning GPT-4 for specific domains or use cases.
  • What are Vector Databases and why are they important for AI?
  • Vector representation of text and data: Embeddings, cosine similarity, and vector space models.
  • Overview of popular Vector DB systems (e.g., Pinecone, FAISS, Milvus).
  • Creating and managing vectors for semantic search and AI applications.
  • Using Vector DB for semantic search in AI applications.
  • Implementing vector-based search systems with GPT-4-generated embeddings.
  • Integrating retrieval-based methods with generative models to enhance responses.
  • Building AI-driven applications that leverage semantic search and content generation
  • Understanding the importance of fine-tuning GPT-4 for specific tasks (summarization, translation, etc.).
  • Techniques for prompt engineering and optimizing GPT-4 outputs.
  • Managing model outputs: controlling tone, style, and relevance.
  • Optimizing performance: reducing latency and ensuring scalability for production environments.
  • Building AI-powered content generation systems: from blog posts to automated reports.
  • AI chatbots for customer service, sales, and support.
  • Implementing automated question-answering systems with GPT-4 and Vector DB.
  • Automating decision-making processes with AI models and vector-based search.
  • Deploying GenAI models on cloud platforms (AWS, Google Cloud, and Azure).
  • Model versioning and managing continuous deployment pipelines for AI applications.
  • Scaling AI applications for real-time performance.
  • Monitoring and maintaining AI models in production.

Who is the instructor for this training?

The trainer for this Building AI-Driven Apps: Master GenAI, LangChain, Vector DB, and GPT-4 Integration Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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