Certificate Journey
My AI Learning Journey: eCornell Agentic AI Architecture
From foundational data science to agentic AI architecture — watch the journey, then verify the credential.
From foundational data science to agentic AI architecture: this is the learning path that led to my eCornell certificate in Agentic AI Architecture. Watch the journey on the left, then verify the credential below.
Agentic AI Architecture
A cohort-based professional certificate program with instructor-graded activities and applied projects.
Faculty Author
Ayham Boucher
Cornell's Ann S. Bowers College of Computing and Information Science
Learning Outcomes
- Develop AI intuition using LLMs and prompt engineering
- Build scalable AI chatbots using retrieval-augmented generation (RAG)
- Engineer intelligent workflows with advanced agentic AI frameworks
- Identify opportunities to create strategic value with AI
80.0
Professional Development Hours
8.0
Continuing Education Units
Courses
Developing AI Intuition Using LLMs and Prompt Engineering
- Explore how large language models (LLMs) work and identify their limitations
- Experiment with prompts to develop intuition for LLM behavior
- Build an AI chatbot using LLMs and basic prompt engineering
- Refine prompts to enhance chatbot efficiency and functionality
- Integrate multi-model inputs to solve complex problems with LLMs
Context Engineering With Retrieval Augmented Generation (RAG)
- Define retrieval-augmented generation (RAG) and its role in AI
- Build and test basic RAG chatbots for targeted applications
- RAG over a relational database
- Enhance chatbot performance with advanced RAG techniques
- Apply graphs to RAG pipelines
Building AI Agents With Tools, Memory, and Agentic Architecture
- Analyze the core concepts and building blocks of AI agents
- Design AI agent frameworks for intelligent workflow automation
- Experiment with agentic frameworks
- Scale up and optimize end-to-end agentic frameworks
AI Strategy, Governance, and Ethics
- Identify enterprise AI opportunities
- Evaluate organizational AI maturity
- Transform data infrastructure for AI readiness
- Design strategic AI implementation plans
- Manage change and mitigate AI risks
- Forecast emerging AI trends and innovation