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 is designed to provide you with the skills and knowledge to build advanced AI-driven applications using Generative AI (GenAI), Vector Databases (Vector DB), and the GPT-4 model. You will learn how to leverage large language models (LLMs) like GPT-4 to build conversational AI systems, implement vector databases for semantic search, and integrate GenAI models into scalable applications. The course focuses on practical hands-on projects and real-world use cases, ensuring you’re able to create powerful, AI-driven apps with cutting-edge technologies.

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

  • Master Generative AI (GenAI) models and their integration into applications.
  • Build and optimize GPT-4-based conversational agents for real-world applications.
  • Understand and implement Vector Databases (Vector DB) for semantic search and AIpowered applications
  • Integrate GenAI models with your applications to automate content generation, question answering, and more.
  • Learn how to deploy AI models efficiently, ensuring scalability and performance.
  • Optimize AI workflows for enhanced results and reduced latency in production environments.
  • Debug and fine-tune AI models for specific tasks, including text generation, summarization, and classification.

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

  • AI Engineers and Developers – Looking to build intelligent applications with the latest AI technologies.
  • Data Scientists – Interested in applying GPT-4 and Vector DB for advanced NLP and AIdriven solutions.
  • Software Engineers – Wanting to integrate Generative AI models into their software solutions.
  • Machine Learning Enthusiasts – Eager to learn about Vector Databases and Generative AI models.
  • Entrepreneurs and Innovators – Looking to build AI-driven applications to automate and enhance business processes.

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

Basic understanding of machine learning concepts and AI principles.

Available Training Modes

Live Online Training

4 Days

Self-Paced Training

40 Hours

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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