Social Media Video Content Creation

We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. * create posts via video editing * engage with social media audience * increase follower base in Instagram, Tiktok, and YT Shorts Ultimately, you will be working on content creation for our organization, including video, social media, and other collateral that we can use as go-to marketing tools. If you like the sound of our culture, and are ready to tackle this challenge with us, then we'd love to hear from you.

Social Media Content Creation

The Social Media and Blog Content Creation internship is an 80-hour program designed to provide interns with practical experience in crafting engaging content primarily for LinkedIn and blog platforms. Interns will work closely with our content marketing team to produce high-quality written and visual content that aligns with the organization's branding and messaging. This internship offers a unique opportunity to develop content creation skills, enhance writing abilities, and gain insights into audience engagement on professional platforms. Internship Components: 1. Content Creation (40 Hours): Produce well-researched, industry-specific blog articles on relevant topics. Develop engaging LinkedIn posts and articles that showcase thought leadership. Create compelling visual content to accompany written pieces. 2. Blog Management (15 Hours): Learn to use content management systems (CMS) for blog publishing. Optimize blog posts for SEO to increase organic reach. Schedule and publish blog articles according to a content calendar. 3. LinkedIn Engagement (15 Hours): Manage the organization's LinkedIn page, posting content regularly. Engage with the LinkedIn audience, respond to comments, and foster meaningful discussions. Build and nurture connections with industry professionals on LinkedIn. 4. Analytics and Insights (10 Hours): Analyze social media and blog performance metrics, including engagement, reach, and click-through rates. Provide recommendations for content optimization based on data insights. 5. Collaboration and Learning (10 Hours): Collaborate with the content marketing team to align content strategies. Participate in knowledge-sharing sessions to enhance content creation skills.

AWS DevOps Engineer Internship

The AWS DevOps Engineer Internship is an 80-hour hands-on opportunity for aspiring DevOps professionals to gain practical experience in cloud-based infrastructure management, automation, and continuous integration/continuous deployment (CI/CD) pipelines. This internship provides exposure to real-world scenarios, offering valuable insights into AWS cloud services, infrastructure as code (IaC), and best practices in DevOps. Project Components: 1. AWS Cloud Infrastructure (20 hours): Set up and configure AWS cloud environments, including virtual machines, databases, and storage solutions. Explore AWS services such as EC2, RDS, S3, and VPC, and understand their use cases. Implement security best practices for AWS resources and data. 2. Infrastructure as Code (IaC) (15 hours): Learn to create and manage infrastructure using tools like AWS CloudFormation or Terraform. Develop IaC templates to provision and manage cloud resources consistently. Version control IaC templates for tracking changes. 3. CI/CD Pipelines (20 hours): Build CI/CD pipelines using AWS CodePipeline or similar tools. Automate code deployments to AWS environments with AWS CodeDeploy. Integrate automated testing and validation into the CI/CD process. 4. Monitoring and Logging (10 hours): Set up monitoring and alerting using AWS CloudWatch. Implement logging and log analysis with AWS services. Respond to incidents and troubleshoot issues. 5. Automation Scripts (10 hours): Create automation scripts using Python or Bash to streamline routine tasks. Automate backup and recovery processes for critical data. 6. Documentation (5 hours): Maintain detailed documentation of configurations, processes, and procedures. Create user guides for team members. 7. Learning and Skill Development (5 hours): Participate in knowledge-sharing sessions and workshops with experienced DevOps engineers. Gain insights into industry best practices and emerging trends in DevOps.

Junior Data Scientist Project

The goal of this project is to develop a real-estate match making system using deep learning. This will involve several different steps for the students, including: - Analyzing existing data sets of real-estate listings and customer preferences. - Developing a deep learning model to match customers with listings. - Optimizing model performance and assessing areas for improvement. - Researching other variables that can improve the accuracy of the model. - Accounting for additional variables in the model. - Testing the model and making improvements based on additional data.