This course focuses on the tactical execution of AI within the digital marketing ecosystem. Students will transition from general business governance to specific marketing applications, such as architecting hyper-personalized customer journeys, automating content supply chains, and optimizing return on Ad Spend (ROAS) through predictive modeling. The curriculum emphasizes the construction of a cohesive 'AI Marketing Tech Stack,' enabling students to leverage tools for sentiment analysis, programmatic advertising, and dynamic content generation while ensuring brand safety and data privacy compliance.

This course provides students with a comprehensive overview of social media marketing while integrating artificial intelligence technologies that are transforming the digital landscape. Students will learn to leverage AI-powered social media management tools, chatbots, content generation systems, and predictive analytics to implement reputation management, customer service, marketing campaigns, and engagement strategies. The course covers goal-setting and KPI identification using AI-driven insights, explores various social media platforms and their AI capabilities, and teaches students to plan AI-enhanced social media personas. Students will gain hands-on experience with AI content creation tools, automated scheduling systems, and machine learning-powered analytics platforms. The course also addresses ethical considerations of AI in social media, including algorithmic bias, data privacy, and the responsible use of AI-generated content in personal and professional contexts.

In today's interconnected world, social network platforms have become integral to both personal and professional communication, powered increasingly by sophisticated artificial intelligence technologies. This course offers a comprehensive exploration of three prominent social network platforms: Facebook, X, and LinkedIn, with particular emphasis on understanding and leveraging AIdriven features that shape modern digital communication. Students will explore how machine learning algorithms power content curation, how AI tools can optimize marketing campaigns, and how automated systems shape user experiences on each platform.

This course provides an in-depth exploration of interactive social media networks enhanced by artificial intelligence. Students examine Instagram, TikTok, and Snapchat, focusing on how these platforms use AI to transform content creation, engagement, and audience interaction. Topics include machine learning algorithms for content discovery, AI-generated filters and effects, recommendation systems, and automated audience targeting.
Students gain hands-on experience creating photos and videos using AI-powered editing tools, augmented reality (AR) filters, and machine learning-driven features such as musical overlays and interactive elements. The course also explores how AI enhances user experiences through 
predictive analytics, content optimization, chatbots, and audience segmentation. By the end of the course, students understand how AI shapes social media platforms and are prepared to apply AI-driven strategies in digital marketing and content creation.

In today's digital landscape, video and audio sharing networks have emerged as transformative platforms, reshaping the way we consume, create, and interact with multimedia content. This course delves into the multifaceted realm of platforms like YouTube, Vimeo, and more, examining their concepts, impact, and underlying mechanisms. Students will explore how artificial intelligence is revolutionizing these platforms through advanced recommendation algorithms, automated content optimization, AI-powered analytics, and emerging technologies like voice synthesis and automated editing tools. Through a comprehensive exploration of these platforms and their AI integration, students will gain a deep understanding of the convergence of technology, culture, and communication that defines the modern digital era and prepares them for the future of multimedia marketing.

This course explores alternative social media platforms enhanced by artificial intelligence, moving beyond mainstream networks. Students examine diverse platform categories, including bookmarking and subscriptionbased communities, and how AI is transforming communication, engagement, and user experiences. The course highlights AI-driven features such as intelligent content curation, automated community management, and predictive user behavior analysis. Students gain insight into how these technologies create new opportunities for targeted marketing and personalized engagement. Learners develop skills in using AI tools for alternative platform marketing, understanding machine learning algorithms that shape these communities, and applying strategies for personalization and engagement optimization. By the end of the course, students are prepared to navigate and leverage AI-powered, nontraditional social media environments.   

Content posted to social media platforms is potentially viewed by millions of people, making it imperative that content is appropriate and meets posting goals. This course explores different types of content posted to social media while integrating modern AI-powered content creation tools and strategies. Students will learn to write as their online persona, explore different writing styles, and leverage artificial intelligence to enhance creativity and efficiency. The course examines the dos and don'ts of writing to ensure content has the desired effect, while teaching students to collaborate effectively with AI tools for content generation, optimization, and personalization. Students will develop skills in prompt engineering, AI-assisted content creation, and ethical AI usage while learning to write with the purpose of responding to criticism and managing reputation in an AI-enhanced digital landscape.

In the contemporary digital landscape, defined by algorithmic fragmentation, the rise of the Creator Economy, and the ubiquity of Artificial Intelligence (AI), Content Outreach is no longer merely about distribution; it is a complex ecosystem of relationship management, algorithmic engineering, and reputation governance. This course focuses on the techniques, methods, and strategies used to create content that is shareable with the intent of 
having it go viral. Students will learn sharing and collaborative strategies, hashtags, and the creation of contests specifically to achieve the intended goals. Additionally, students will explore how AI tools can enhance content creation, audience analysis, and viral marketing strategies to maximize outreach effectiveness.

This cutting-edge course empowers students to master AI-driven social media aggregation and intelligent listening technologies. Students will explore advanced machine learning algorithms that power modern social media monitoring, predictive sentiment analysis, and automated content curation systems. The curriculum covers AI-enhanced brand monitoring, real-time conversation intelligence, automated competitor analysis, and predictive social media trend forecasting. Students will learn to implement sophisticated AI tools including natural language processing for sentiment analysis, 
computer vision for visual content monitoring, and machine learning algorithms for audience behavior prediction. The course emphasizes practical application of AI-powered platforms like Brandwatch Intelligence, Sprout Social's AI insights, Hootsuite's AI analytics, and emerging generative AI tools for social media strategy optimization.

Digital data analytics is used to gain insights into consumer behaviors with data being collected from all forms of digital internet traffic. By analyzing data, students will gain insights into marketing effectiveness and assess potential business opportunities in the internet space. Students will study measurement, collection, analysis, and reporting of digital data to understand and optimize marketing channels, with emphasis on how artificial intelligence is transforming analytics through automated data processing, predictive modeling, and intelligent pattern recognition. In this course, students will utilize digital data tracking systems and AI-enhanced analytics tools for data usage and marketing metrics, interpreting results so that they can create, convert, and enhance customer relationships using both traditional and AI-powered analytical approaches.

This comprehensive course focuses on content and display marketing integrated with cutting-edge AI applications and their relation to Search Engine Marketing. Students will explore how artificial intelligence is revolutionizing digital advertising through automated optimization, predictive analytics, and personalized content delivery. The course covers multiple advertising platforms including Google Ads, Meta Ads, and emerging AIpowered advertising networks. Students will gain handson experience with both traditional campaign management techniques and modern AI-driven optimization tools.

This course provides an in-depth exploration of Customer Relationship Management (CRM) software, Key Performance Indicators (KPIs), Search Engine Marketing 
(SEM), lead management, marketing automation, and conversion optimization enhanced with artificial intelligence capabilities. Students will develop expertise in setting up AI-powered CRM systems and integrating intelligent marketing hubs with automated email systems that leverage machine learning for predictive analytics, customer behavior analysis, and conversion optimization. The course emphasizes practical application of AI tools for data-driven decision making, personalization at scale, and predictive customer journey mapping.

This course builds on the skills learned in the Student Success Strategies course or its equivalent. It provides information on how to use communication skills to make 
successful presentations to prospective employers, uncover the hidden job market, and identify employment opportunities. Students engage in self-assessment to identify transferable skills and learn how to effectively communicate these to employers. The course also introduces the use of artificial intelligence (AI) as a career support tool. Students apply AI to assist with resume and cover letter development, job searching, and interview preparation, while maintaining their own authentic voice and critically evaluating AI-generated content. Students may be videotaped during a mock interview and will participate in the analysis of their performance in the interview.

This field placement prepares you for your transition to the workforce. The practicum will be completed in a business / marketing environment working under the supervision of experienced personnel. You will be provided with a description of duties you'll will perform on the job. At the end of the placement, the practicum host will provide an evaluation on your performance, and you will provide the college with an evaluation of the placement.