GenAI For Software Developers

Duration : 2 Days

Course Contents

Session 1: Understanding Generative AI
  • What is Generative AI?
    • Evolution of AI: From rule-based systems to Generative AI.
    • Applications: Content creation, software development, data analysis.
  • Core Concepts:
    • Generative vs Discriminative Models.
    • Neural Networks and Transformers.
Session 2: Introduction to LLMs and GPT
  • What are Large Language Models (LLMs)?
    • Training, data, and architecture.
    • Examples: GPT, Bard, and LLaMA.
  • Deep Dive into GPT:
    • Architecture and attention mechanisms.
    • Evolution: GPT-2, GPT-3, GPT-4.
  • Hands-On Exploration:
    • Interactive prompts to explore GPT’s language capabilities (e.g., summarization, brainstorming, content generation).
Session 3: Generative AI in the Software Development Lifecycle
  • AI’s role across SDLC phases:
  • Requirement gathering, coding, testing, deployment.
  • Overview of upcoming tools and techniques.
Session 1: AI-Assisted Coding
  • Introduction to AI tools for coding:
    • GitHub Copilot, Tabnine, and CodeT5.
  • Hands-On Coding Exercises:
    • Automating code generation, debugging, and documentation.
Session 2: AI in Software Design and Planning
  • AI tools for planning: Notion AI, Whimsical, and Beautiful.ai.
  • Hands-On Exercise:
    • Generating diagrams, flowcharts, and requirement documents.
Session 3: Best Practices and Ethical Considerations
  • Ensuring ethical AI usage in software development.
  • Avoiding AI-generated code pitfalls (security, copyright issues).
Session 1: AI in Testing
  • Test case generation with Generative AI:
    • Tools: TestSigma, Test.ai.
    • Automated unit testing and bug prediction.
  • Hands-On Exercise:
    • Generating test cases and running automated tests.
Session 2: AI in Deployment and Monitoring
  • Deployment automation with AI tools:
    • Jenkins, Ansible, and GitHub Actions.
  • AI in post-deployment monitoring:
    • Tools: Dynatrace, New Relic.
  • Hands-On Exercise:
    • Automating CI/CD pipelines and monitoring systems.
Session 3: Introduction to AI for Documentation
  • Generating technical documentation with tools like OpenAI and Jasper AI.
  • Hands-On Exercise:
    • Creating release notes and API documentation.
Session 1: GPT Customization
  • Why Customize GPT?
    • Benefits of domain-specific fine-tuning.
  • Methods:
    • Fine-tuning vs. prompt engineering.
    • Using APIs for customization.
  • Hands-On Exercise:
    • Building domain-specific GPT workflows (e.g., for software development, customer support).
Session 2: AI-Powered Presentation Creation
  • Tools for creating professional presentations:
    • Beautiful.ai, Canva, and PowerPoint Designer.
  • Hands-On Exercise:
    • Generating AI-powered presentations for project pitches.
Session 3: Integration Across the SDLC
  • Case Studies:
    • Real-world examples of AI integration in SDLC.
  • Capstone Activity:
    • Participants create a workflow using multiple tools learned during the training.
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Date

Apr 04 2025

Time

9:30 AM - 5:30 PM

Cost

INR 2,950.00

Location

Online

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