This DevOps course equips you with the skills to automate software development and deployment using tools like Git, Jenkins, Docker, Kubernetes, and AWS. Learn to build CI/CD pipelines, manage cloud infrastructure, and enhance collaboration between development and operations for faster, efficient, and reliable software delivery.
No, prior programming experience is not required. The course is beginner-friendly and starts from the basics of coding, especially in Python, which is widely used in AI/ML.
You'll gain hands-on experience with tools like Python, Pandas, TensorFlow, Keras, SQL, MongoDB, FastAPI, Streamlit, Anaconda, and more. You'll also work with cloud platforms and MLOps tools like Kubernetes.
Yes, you'll receive up to 3 industry-recognized certificates upon completion. These can help strengthen your resume and LinkedIn profile for AI/ML job roles.
You'll work on real-world projects such as predictive modeling, computer vision tasks, chatbots, and AI-powered apps, helping you build a strong portfolio for job applications.
Yes, it’s designed for students, freshers, and working professionals alike. Whether you're switching careers or enhancing your current skills, the course is structured to fit various learning needs.
This course provides industry-relevant training, real-time project experience, and placement preparation material to help you become job-ready. While job placement isn’t guaranteed, it significantly improves your chances in AI/ML roles.
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