Understanding the fundamentals and the foundation of digital marketing so that in terms of strategy you can address the question “why digital marketing” at all, from a business perspective
Sound knowledge about the various components, stages of digital marketing given the life-cycle of a business making it relevant to recommend/implement activities for yourself or recommend to business owners
Ability to talk numbers and analyze key metrics and how to achieve them in order to add value to a business through digital marketing
Ability to tailor content and overall digital marketing strategy for any industry
Fundamentals of AWS: Gain a solid understanding of cloud computing and the basics of Amazon Web Services (AWS.
Storage and Data Management: Learn about AWS EBS volumes, Amazon Elastic File System (EFS) and advanced features like versioning.
Network and Security: Explore AWS VPC, VPC peering, OpenVPN setup, security groups, and IP address types to build and secure your own private cloud infrastructure.
Scalability and Performance: Understand concepts like Elastic Load Balancer (ELB), Auto Scaling, Cloud Watch for monitoring.
Data Analytics and Deployment: Get an introduction to AWS data analytics services like Glue, Athena, Lambda, SQS, and SNS
Eligibility : 1st Year B. Tech, MCA..
Pre-Requisites : Anybody who has interest in cloud computing
Foundational Course On Machine Learning and Deep Learning Using Python
Course Highlights :
Develop proficiency in Python programming for implementing machine learning and deep learning models effectively.
Gain a strong understanding of the fundamental concepts, techniques, and algorithms of machine learning and deep learning.
Apply supervised and unsupervised machine learning algorithms as well as design, train, and fine-tune neural networks for real-world applications.
Learn to handle and preprocess real-world datasets, evaluate model performance using appropriate metrics, and make informed decisions based on the results.
Understand the ethical implications of machine learning and deep learning, and be prepared to apply the acquired skills in various industry contexts.
Eligibility : 1st Year B. Tech, MCA, MSc-DS
Pre-Requisites : • Sound knowledge of engineering mathematics