Courses / Programming

Generative AI and Agentic AI: Mastering AI Builder Stack for Real-World Solutions

0.0 (0 ratings) Programming
1 enrolled 20 lessons

What you'll learn

  • Introduction to Generative AI and Agentic AI Concepts
  • Overview of Popular AI Builder Tools and Platforms
  • Setting Up Your Development Environment: Docker & FastMCP
  • Getting Started with Langchain: Building AI Workflows
  • Exploring CrewAI: Agentic AI for Business Automation
  • Integrating Claude for Enhanced Language Understanding
  • Creating Your First Generative AI Model: Step-by-Step
  • Designing AI Solutions for Technology and Software Use Cases
  • Applying Generative AI in Sales and Customer Engagement
  • Building AI-Powered Marketing Automation Pipelines

+ 10 more topics

About this course

Learn to build and deploy cutting-edge Generative AI and Agentic AI applications using popular tools like Langchain, CrewAI, Claude, Docker, and FastMCP. This beginner-friendly course guides you through projects across technology, sales, marketing, e-commerce, and finance. Gain practical skills with expert-led sessions, hands-on labs, gamified challenges, and community support powered by EICTA Consortium and IIT Kanpur. Enhance your career with AI-driven mentoring, job resources, and certification.

Curriculum

  • 1 Introduction to Generative AI and Agentic AI Concepts Quiz
  • 2 Overview of Popular AI Builder Tools and Platforms Quiz
  • 3 Setting Up Your Development Environment: Docker & FastMCP Quiz
  • 4 Getting Started with Langchain: Building AI Workflows
  • 5 Exploring CrewAI: Agentic AI for Business Automation
  • 6 Integrating Claude for Enhanced Language Understanding
  • 7 Creating Your First Generative AI Model: Step-by-Step
  • 8 Designing AI Solutions for Technology and Software Use Cases
  • 9 Applying Generative AI in Sales and Customer Engagement
  • 10 Building AI-Powered Marketing Automation Pipelines
  • 11 Developing E-Commerce AI Agents for Personalized Shopping
  • 12 Agentic AI in Finance: Automating Decision Processes
  • 13 Gamifying Your AI Projects: Tips for Engagement and Flow
  • 14 Testing, Debugging, and Optimizing AI Models Effectively
  • 15 Deploying AI Solutions Using Docker Containers
  • 16 Scaling AI Applications with FastMCP Integration
  • 17 Collaborating with AI Mentors and Peer Communities
  • 18 Navigating Career Growth with AI-Powered Support Tools
  • 19 Preparing for Certification: Best Practices and Mock Tests
  • 20 Course Wrap-Up and Real-World Project Showcase

Student reviews

Log in and enroll to leave a review.

No reviews yet.