AI@Aon - Technical Upskilling
Completed by Bacha Navya Kumari on April 1, 2026
Verified learner ·
Badge ID: QJ-gaWIUTqKfoGliFD6itA
About this Badge
This badge recognizes practical proficiency in modern AI and generative AI development. Earners demonstrate the ability to use Python for data work and application scaffolding; explain core AI concepts for technical and non‑technical audiences; apply prompt engineering; understand LLM fundamentals; build retrieval‑augmented generation (RAG) and “chat with your data” applications; design agentic workflows; fine‑tune and evaluate large language models; and apply responsible and ethical AI practice
Learning objectives
- Apply prompt engineering techniques to enhance generative AI model outputs, including zero-shot and few-shot prompting, and advanced methods like Chain-of-Thought.
- Develop and deploy multi-agent systems using frameworks like AutoGen and LangGraph, enabling agents to collaborate and perform complex tasks.
- Implement finetuning strategies on large language models to optimize performance using custom data, enhancing model adaptability and output quality.
- Utilize AI ethics frameworks, such as the SIFT process, to evaluate and responsibly use generative AI tools in creative and professional contexts.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI Agents
- Applied Machine Learning
- Extract, Transform, Load
- Artificial Neural Networks
- Ethical Standards And Conduct
- Risk Analysis
- Law, Regulation, and Compliance
- Large Language Modeling
- Natural Language Processing
- Diversity and Inclusion
- Data Storage Technologies
- Environmental Issue
- Intellectual Property
- Restful API
- AI Personalization
- Strategic Thinking
- Performance Tuning
- Reinforcement Learning
- Semantic Web
- Web Scraping
- Corporate Sustainability
- Software Design Patterns
- Programming Principles
- Network Model
- Legal Risk
- Business Ethics
- Agentic systems
- Innovation
- Data Integration
- Business Risk Management
- ChatGPT
- Creativity
- Jupyter
- OpenAI
- JSON
- NumPy
- Scalability
- Data Processing
- Data Ethics
- Data Pipelines
- Data Science
- Document Management
- Application Development
- Scripting
- Automation
- Leadership
- Analysis
- PyTorch (Machine Learning Library)
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- Application Programming Interface (API)
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Learning content completed
Some of the content and skills presented have been contributed by the content provider.