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Cloud Computing Instructor information

What does a cloud computing instructor do?

A Cloud Computing Instructor teaches students or professionals about cloud technologies, platforms, and services such as AWS, Azure, or Google Cloud. Their responsibilities include developing course materials, delivering lectures, guiding hands-on labs, and staying updated on the latest cloud trends. They help learners understand cloud architecture, deployment, security, and best practices, and often prepare them for industry certifications. Instructors may work in educational institutions, corporate training settings, or online learning platforms.

What are the key skills and qualifications needed to thrive as a cloud computing instructor?

To thrive as a Cloud Computing Instructor, you need deep expertise in cloud platforms (such as AWS, Azure, or Google Cloud), teaching experience, and relevant industry certifications like AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator. Familiarity with cloud management tools, virtualization technologies, and learning management systems (LMS) is typically required. Strong communication, patience, and the ability to simplify complex concepts are essential soft skills for engaging and supporting students. These skills ensure instructors can deliver effective training, bridge knowledge gaps, and prepare learners for real-world cloud careers.

What are some common challenges cloud computing instructors face when teaching diverse groups of students?

Cloud Computing Instructors often encounter students with varying levels of technical experience, which can make it challenging to pace lessons appropriately and ensure everyone stays engaged. Balancing hands-on lab time with theoretical instruction is another common challenge, as some students may grasp concepts faster than others. Instructors also need to keep up with rapidly evolving cloud technologies to provide students with current, industry-relevant knowledge. Effective communication and adaptability are key to creating an inclusive and productive learning environment.

What is the difference between Cloud Computing Instructor vs Cloud Solutions Architect?

AspectCloud Computing InstructorCloud Solutions Architect
Required CredentialsCertifications like AWS Certified Instructor, CompTIA Cloud+AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect
Work EnvironmentTraining centers, online platforms, educational institutionsDesigning and implementing cloud solutions for organizations
Employer & Industry UsageEducational institutions, training companies, tech companiesTech companies, consulting firms, enterprises
Common Search & Comparison IntentLearning roles, teaching cloud conceptsDesigning cloud infrastructure, technical implementation

The main difference is that a Cloud Computing Instructor focuses on teaching cloud concepts and certifications, often in educational or training settings. In contrast, a Cloud Solutions Architect designs and implements cloud solutions for organizations, requiring more technical expertise in architecture and deployment. Both roles require cloud certifications, but their work environments and objectives differ significantly.

What cities are hiring for Cloud Computing Instructor jobs?

Cities with the most Cloud Computing Instructor job openings:

What states have the most Cloud Computing Instructor jobs?

States with the most job openings for Cloud Computing Instructor jobs include:

What are popular job titles related to Cloud Computing Instructor jobs?

For Cloud Computing Instructor jobs, the most frequently searched job titles are:

Infographic showing various Cloud Computing Instructor job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Instructor, Gen AI, Simplilearn (Part time)

Remote

Fullstack Academy
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Fullstack Academyexternal

$50/hr

Part-time

Re-posted 11 days ago

Job description

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

Benefits
Compensation:
Part-Time Instructors are hourly, non-exempt employees. As such they will be compensated for all time worked. Part-time Instructors can expect to work approximately 8-10 hours per week and should not exceed expected hours without manager approval.
The expected compensation for this role for candidates is $50 per hour for candidates who fulfill the qualifications for the role.

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