Low/No Code GenAI Engineer
Completed by Adrian Barrera on July 11, 2025
Verified learner ·
Badge ID: gyFi4NepRRuhYuDXqQUbWA
About this Badge
By the end of this course, learners will master prompt engineering and gain hands-on experience in building custom GPT applications using ChatGPT Custom GPTs. They will also learn visual workflow orchestration and implement RAG pipelines with vector store integration to apply large language models for tasks like summarization, translation, and question answering.
Learning objectives
- Design and deploy custom AI assistants using GPTs tailored to specific industry needs and applications.
- Utilize LangChain and no-code tools to create sophisticated AI workflows and automate tasks without prior coding experience.
- Develop effective prompt engineering skills to maximize productivity and creativity with large language models.
- Build Retrieval Augmented Generation (RAG) applications using LLMs, LangChain, and vector databases to automate workflows.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI Agents
- Productivity Software
- Business Process Automation
- Ethical Standards And Conduct
- Large Language Modeling
- Natural Language Processing
- Artificial Intelligence
- Data Storage Technologies
- Creative Thinking
- Problem Solving
- AI Personalization
- Personalized Service
- Generative AI
- Scenario Testing
- Cloud Applications
- Prompt Engineering
- Brainstorming
- Innovation
- Productivity
- ChatGPT
- Data Store
- Collaboration
- Application Development
- Expense Management
- Automation
- Application Programming Interface (API)
- Skills section collapsed. Showing 6 of 27 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.