Master Google Gemini, Sora & Nano Banana to create cinematic, AI-powered brand ads and product marketing campaigns
β±οΈ Length: 1.1 total hours
β 4.52/5 rating
π₯ 116 students
π October 2025 update
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- Course Overview: This intensive AI accelerator represents the next frontier in digital narrative construction, specifically tailored for marketing professionals who need to pivot from traditional static campaigns to dynamic, cinematic brand experiences. The program focuses on the synergy between Googleβs most advanced Large Language Models and cutting-edge video generation engines to redefine how products are visualized and marketed in a saturated digital landscape. Rather than focusing on surface-level automation, the course dives deep into the architecture of high-end visual storytelling, teaching students how to harness the multimodal capabilities of Gemini to generate complex scripts, storyboards, and final visual assets that resonate with a global audience. By integrating the specific strengths of Sora and the unique optimization layers of Nano Banana, the curriculum ensures that every participant can produce agency-level content without the overhead of a massive production crew. It is a strategic blueprint for the 2025 marketing ecosystem, where speed, personalization, and visual fidelity are the primary drivers of consumer engagement and brand loyalty.
- Course Overview: Participants will explore the psychological aspects of AI-driven marketing, learning how to prompt for emotional resonance and brand consistency across diverse media formats. The course breaks down the “black box” of creative AI, providing a clear roadmap from initial concept brainstorming to the deployment of high-resolution video ads. The focus remains strictly on the “Accelerator” mindset, which emphasizes rapid iteration and the use of specialized AI tools to solve creative bottlenecks that previously took weeks to resolve. By the end of this 1.1-hour deep dive, students will have a robust framework for managing an entire brand’s visual identity using only a handful of intelligent prompts and strategic AI orchestrations.
- Requirements / Prerequisites: A foundational understanding of digital marketing principles, including an awareness of target demographics, brand voice, and the basic structure of a social media advertisement, is highly recommended to get the most out of this high-speed course. While no coding knowledge or technical background in machine learning is required, students should possess a creative spark and a willingness to experiment with iterative design processes where the first result is rarely the final masterpiece.
- Requirements / Prerequisites: Access to a stable high-speed internet connection is essential for interacting with cloud-based AI tools like Google Gemini and the Sora video generation interface, as high-definition rendering requires significant bandwidth. Students should also have an active Google account to access the Gemini ecosystem and be prepared to sign up for beta or enterprise access to secondary tools mentioned throughout the curriculum to follow along with the live demonstrations.
- Requirements / Prerequisites: A preliminary set of brand assets, such as a logo, a specific color palette (HEX codes), and a defined mission statement, will be beneficial for the practical exercises. Having these materials ready allows students to apply the AI techniques directly to their own business or client projects in real-time, transforming theoretical knowledge into tangible marketing collateral immediately.
- Skills Covered / Tools Used: Mastering Google Gemini for multimodal strategy, which involves using the model not just for text generation, but as a creative director capable of analyzing visual trends and suggesting cinematic lighting, camera angles, and color grading schemes that align with specific brand aesthetics. Students will learn how to feed Gemini brand guidelines to ensure every output remains strictly on-message and visually coherent.
- Skills Covered / Tools Used: Advanced implementation of Sora for Brand Motion, focusing on the generation of hyper-realistic video sequences that mimic high-budget cinematography. This includes techniques for maintaining character and product consistency across different scenes, a common challenge in AI video that this course addresses through specific prompting sequences and “seed” management.
- Skills Covered / Tools Used: Specialized utilization of Nano Banana for asset optimization and texture refinement. This tool is leveraged to bridge the gap between AI-generated concepts and final, high-fidelity product renders, ensuring that textures look realistic and that branding elements are integrated seamlessly into the AI-generated environments without digital artifacts.
- Skills Covered / Tools Used: Prompt Engineering for Visual Narrative, which goes beyond simple descriptions to include technical photography and film terminology. Students will learn how to use terms like “anamorphic flare,” “bokeh depth,” and “tracking shots” within their prompts to instruct the AI to produce specific cinematic results that feel premium and intentional.
- Skills Covered / Tools Used: Orchestration of AI Content Pipelines, where students learn to link these tools together. This involves a workflow where Gemini creates the script and visual cues, Sora generates the raw footage, and Nano Banana polishes the specific product details, creating a cohesive and automated factory for high-end marketing content.
- Benefits / Outcomes: Radical reduction in production timelines and costs, enabling small teams or individual entrepreneurs to compete with the creative output of major advertising agencies by leveraging the power of 24/7 AI creative assistants. This democratization of high-end production allows for more frequent and higher-quality campaign launches without the traditional financial risks.
- Benefits / Outcomes: The ability to conduct hyper-personalized marketing at scale, where different versions of a cinematic ad can be generated for different micro-segments of an audience in minutes. This outcome ensures that brand messaging is always relevant to the specific viewer, leading to higher conversion rates and better return on ad spend (ROAS).
- Benefits / Outcomes: Development of a future-proof skill set that positions the student at the intersection of marketing and artificial intelligence. As the industry shifts toward AI-first workflows, graduates of this course will be uniquely qualified to lead digital transformation initiatives within their organizations or as external consultants.
- Benefits / Outcomes: Mastery over visual brand consistency in the age of generative media. Students will walk away with the “Brand Anchor” technique, ensuring that even as the AI generates new and creative backgrounds, the core product and brand identity remain undistorted and instantly recognizable to the consumer.
- Benefits / Outcomes: Creation of a professional-grade AI marketing portfolio, including a fully realized cinematic product commercial, which serves as a powerful proof-of-concept for clients or stakeholders to demonstrate the viability and excellence of AI-powered creative workflows.
- PROS: The course provides an exceptionally high ROI for time invested, delivering a comprehensive “mastery” level of insight in just over an hour, which is perfect for busy executives and creative directors who cannot afford long, theoretical bootcamps.
- PROS: The curriculum is updated for the October 2025 landscape, ensuring that students are not learning outdated prompt techniques but are instead using the most current iterations of Gemini and Sora available in the market.
- PROS: Focuses on the “Cinematic” aspect of AI, which is often ignored in other courses that focus only on low-quality, generic social media posts, thus giving students a distinct competitive edge in high-ticket marketing.
- PROS: The use of niche tools like Nano Banana provides a unique technological advantage that is not commonly taught in mainstream AI courses, allowing for a level of product detail that is usually missing from AI-generated ads.
- CONS: The extremely fast-paced nature of the “Accelerator” format may require students who are completely new to the concept of generative AI to pause and re-watch sections several times to fully grasp the complex multi-tool integration strategies being demonstrated.
Learning Tracks: English,Business,Other Business
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