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Gen AI for Developers Training

Live Online & Classroom Enterprise Training

Generative AI for developers enables the creation of intelligent applications using models like GPT-4, improving automation, code generation, and content creation. It integrates with tools like LangChain and Vector Databases to enhance AI-driven workflows and decision-making.

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What is Gen AI for Developers Course about?

Gen AI for Developers" is a comprehensive course designed to empower software developers with the skills to integrate generative AI into their everyday development workflows. The course covers the fundamentals of large language models—such as GPT-4—and dives deep into effective prompt engineering techniques to elicit precise outputs. Learners will explore frameworks like LangChain to orchestrate complex AI interactions and leverage vector databases for semantic search and retrieval augmented generation (RAG). By blending theory with hands-on projects, the course teaches you how to build, deploy, and optimize AI-powered applications that automate coding tasks, enhance code quality, and unlock innovative solutions in software development. 

What are the objectives of Gen AI for Developers Course ?

  • Generative AI Fundamentals: Understand the principles behind generative models and their applications.
  • Model Integration: Learn how to integrate advanced models like GPT-4 into your applications.
  • Prompt Engineering: Master effective prompt design to guide AI output.
  • LangChain Framework: Use LangChain to create modular, reusable AI workflows.
  • Vector Databases: Implement semantic search and retrieval augmented generation (RAG) using vector embeddings.
  • End-to-End Application Development: Build, deploy, and monitor AI-powered applications.
  • Optimization & Scalability: Apply best practices for performance, error handling, and cost management in production environments. 

Who is Gen AI for Developers Course for?

  • Software developers looking to incorporate AI capabilities into their applications
  • Machine learning engineers interested in exploring generative models
  • Data scientists aiming to expand their skill set into AI-driven development
  • AI enthusiasts seeking practical experience in building AI-powered tools
  • Technical leads and architects planning to integrate AI solutions into their projects

What are the prerequisites for Gen AI for Developers Course?

Proficiency in Python.

Available Training Modes

Live Online Training

4 Days

Self-Paced Training

40 Hours

Course Outline Expand All

Expand All

  • Overview of Generative AI and its evolution.
  • Applications and business impact of Gen AI.
  • Introduction to major models (e.g., GPT-4, diffusion models).
  • Setting up the development environment (Python, Jupyter Notebooks, API keys)
  • Understanding the architecture and training of LLMs.
  • Exploring key concepts: context windows, tokens, and embeddings.
  • Hands-on exercise: Basic querying and interaction with an LLM via API.
  • Techniques for crafting precise and effective prompts.
  • Iterative refinement and few-shot prompting strategies.
  • Practical exercises: Design prompts for different application scenarios.
  • Introduction to the Lang Chain framework and its core components (chains, agents, prompt templates).
  • Building simple chains for sequential and conditional processing.
  • Hands-on lab: Create a basic chatbot using Lang Chain and an LLM.
  • Overview of vector databases and semantic embeddings.
  • Generating and storing embeddings for effective retrieval.
  • Building a RAG pipeline: integrating vector search to augment LLM responses.
  • Practical exercise: Create a semantic search application using a vector DB (e.g., Pinecone or Chroma).
  • Designing AI applications: from ideation to architecture.
  • Case studies: chatbots, recommendation engines, and content generators.
  • Hands-on project: Develop an AI-driven application that combines LLM, Lang Chain, and vector retrieval.
  • Deploying AI applications using cloud platforms and CI/CD pipelines.
  • Monitoring application performance with logging and alerts.
  • Optimizing for scalability, cost efficiency, and robustness.
  • Best practices for productionizing generative AI applications.

Who is the instructor for this training?

The trainer for this Gen AI for Developers Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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