Commitment: 4-5 hours per day, 2 days per week (approximately 8-10 hours per week)
Role Summary
We are looking for experienced Cloud Computing and AI professionals to deliver industry-focused training to undergraduate students. The ideal candidate should possess strong technical expertise in cloud platforms and emerging AI technologies, coupled with a passion for teaching and mentoring future technology professionals.
Key Responsibilities:
- Deliver engaging classroom sessions on Cloud Computing and Artificial Intelligence concepts.
- Teach cloud technologies including AWS, Azure, and/or Google Cloud Platform (GCP).
- Facilitate hands-on learning through Docker, Kubernetes, and cloud-native application deployments.
- Introduce students to AI/ML fundamentals and their integration with cloud platforms.
- Create assignments, assessments, case studies,
and practical lab exercises.
- Mentor students on projects and provide academic support throughout the program.
- Evaluate student performance and contribute to curriculum enhancement initiatives.
Required Technical Skills
- Expertise in AWS, Azure, and/or GCP
- Hands-on experience with Docker and Kubernetes
- Strong understanding of Cloud Architecture and Cloud Services
- Knowledge of AI/ML fundamentals and AI-enabled cloud solutions
- Experience working on enterprise cloud implementation projects
Experience
- Minimum 3 years of teaching experience at a reputed university, college, or executive education institution
- Relevant hands-on experience in Cloud Computing, AI, DevOps, or related technologies
- Solid verbal communication, learner engagement, presentation ability.
- Experience designing curriculum, assessments, case studies, or material.
📌 Freelance Faculty | Cloud Computing and AI (Noida)
🏢 TalentSprint
📍 Noida
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