Instructor, Gen AI
简单学习是全球第一位在线 Bootcamp 提供商，为世界各地的学生提供了严格和高度专业化的培训。我们致力于新兴技术和技能，如数据科学，云计算，编程等化全球经济。我们的培训实践性和沉浸式，包括现场虚拟课程，集成实验室和项目，24x7支持以及协作学习环境。超过200万名专业人士和150个国家的2000家企业培训组织利用我们的获奖项目来实现他们的职业生涯和商业目标。**Simplilearn 与 Full Stack Academy 合作，以利用其在美国地区的广泛影响力，并与美国顶级大学建立伙伴关系，以发展国际化** ####工作总结 我们正在寻找经验丰富的生成人工智能教练，以实践演示和项目提供现场网络培训课程，包括现代生成模型，LLM,LangChain,RAG 以及快速工程。###*关键责任 - 交付现场，导师领导的线上课程。- 实践演示，指导实践和项目进行 - 使用现实使用案例解释概念 - 对学习者询问问题解决并确保参与####*所需技能与专业知识 #### Generative AI & Foundation Model - Generative AI 模型类型和应用程序 - VAEs 和 GAN （架构，用例，限制）-基于变压器的模型和注意力机制 - 自主关注和多头关注 ### #语言模型&LLMs - 语言模型基础和应用程序 #### 兰格链 - 兰格连架构和核心组件 - 使用兰格链的应用程序建设 - 提示，内存，链条和模型集成 - 用 Hugging Face 模型的文字生成管道 ###* 简单工程 - 快速基础和优化 - 零截图，几截图，CoT,自行一致性，ToT 提示 - 快捷模板和兰格链提示 - 迅速工程应用 （数据 &合成数据生成）### # 模式 I/O & 数据处理 - 模型 I/O （提示，LLM,输出分类器）- 文件加载器 (CSV, PDF, HTML,JSON,Markdown) - 文本分割器和电子
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**About: Simplilearn**
Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
**Simplilearn has collaborated with Full stack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally**
#### Job Summary
We are seeking experienced Generative AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.
#### Key Responsibilities
- Deliver live, instructor-led online classes
- Conduct hands-on demos, guided practices, and projects
- Explain concepts using real-world use cases
- Address learner queries and ensure engagement
#### Required Skills & Expertise
#### Generative AI & Foundation Models
- Generative AI model types and applications
- VAEs and GANs (architecture, use cases, limitations)
- Transformer-based models and attention mechanisms
- Self-attention and multi-head attention
#### Language Models & LLMs
- Language models fundamentals and applications
- Large Language Models (architecture, training, operations, types)
#### Retrieval-Augmented Generation (RAG)
- RAG concepts, components, retrievers, and workflows
- Real-world applications of RAG
#### LangChain
- LangChain architecture and core components
- Building applications using LangChain
- Prompt, memory, chains, and model integration
- Text generation pipelines with Hugging Face models
#### Prompt Engineering
- Prompt fundamentals and optimization
- Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting
- Prompt templates and LangChain prompts
- Prompt engineering applications (data & synthetic data generation)
#### Model I/O & Data Handling
- Model I/O (prompts, LLMs, output parsers)
- Document loaders (CSV, PDF, HTML, JSON, Markdown)
- Text splitters and embeddings in GenAI
#### Qualifications
- 10+ years of experience in Generative AI / NLP / LLMs
- Strong proficiency in Python, LLM frameworks, and LangChain
- Prior online or classroom training experience