Live 线上讲座
如何成为一名人工智能工程师（2026版）
（第一讲）
数据应用学院(Data Application Lab)专注于数据科学，人工智能和大数据的职业教育, 每年向全球各地，包括硅谷和华尔街的知名企业输送数百 Data Scientists，更有大量的 Data Analysts，Business Analysts，Machine Learning Engineers，Software Engineers 以及 Data Engineers。多年的钻研积累和专一打造了独一无二教学方法和求职经验。被多家北美英文科技媒体列为 Top 10 North American Data Bootcamp。学员遍布美国加拿大，还有来自欧洲, 澳洲和亚太等地的慕名者报名参加。
● 总课时：10节
● 每节课时长：45分钟
● 受众：软件工程师、数据科学家、后端开发人员、全栈开发人员、学生、IT专业人士
● 目标：帮助参与者了解人工智能工程领域，并制定获得人工智能工程师工作的路线图。
Session 1
AI Engineer Career Roadmap (2026)
Session 2
Python for AI Engineers
Session 3
Machine Learning Essentials for AI Engineers
Session 4
Large Language Models (LLMs)
Session 5
Prompt Engineering & AI Productivity
Session 6
Retrieval-Augmented Generation (RAG)
Session 7
AI Agents & Multi-Agent Systems
Session 8
AI Application Development
Session 9
AI Engineer Interview Preparation
Session 10
Future of AI Engineers
Skills gained after the 10-session series
By the end of the series, participants should be able to:
●Understand the AI Engineer career landscape and identify suitable roles.
●Build AI applications using Python and modern AI development tools.
●Explain the fundamentals of machine learning, deep learning, and Transformer-based LLMs.
●Use prompt engineering techniques to improve AI application performance.
●Build Retrieval-Augmented Generation (RAG) systems with vector databases and embeddings.
●Develop AI agents capable of planning, tool use, and multi-step workflows.
●Design and deploy production-ready AI applications using modern web frameworks.
●Prepare a competitive AI Engineer résumé, portfolio, and GitHub profile.
●Perform well in technical interviews covering LLMs, RAG, agents, and AI system design.
●Create a personalized roadmap for continuous learning and long-term career growth in AI engineering.
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主办方：AI聘 — 北美数据类、软件类求职服务一站式服务。
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可登录 www.aipin.io了解更多项目信息和成功案例。
