Master Gemini models, automation & app building – includes 3 real AI projects + Google integrations
β±οΈ Length: 10.9 total hours
π₯ 16 students
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
-
Course Overview
- This course offers a hands-on immersion into Google AI Studio and Gemini models, enabling you to build and deploy practical, real-world AI applications. It uniquely bridges conceptual understanding with tangible project creation, focusing on immediate applicability within the Google ecosystem.
- Designed for efficient upskilling, the curriculum guides you through the entire AI application lifecycle, from initial ideation to scalable deployment, emphasizing strategic integration and automation using generative AI within familiar Google platforms.
-
Requirements / Prerequisites
- Basic Programming Acumen: Foundational knowledge of programming, ideally Python, is beneficial for grasping application logic and efficient API integration.
- Google Account & Cloud Familiarity: An active Google account is essential, along with a general understanding of cloud computing and web service interactions.
- Enthusiasm for AI & Problem Solving: A genuine interest in generative AI and a proactive approach to developing innovative technological solutions are key.
-
Skills Covered / Tools Used
- Advanced Prompt Engineering & Multimodal AI: Master crafting sophisticated prompts to generate high-quality text, code, images, and voice content across various Gemini models for diverse applications.
- API Management & Cost Optimization: Learn best practices for managing AI model APIs, implementing efficient usage strategies, and optimizing costs for scalable, production-grade AI applications.
- Google Workspace & Cloud Integrations: Seamlessly embed AI functionalities into Google Workspace and various Google Cloud services, unlocking new automation and productivity enhancements.
- Real-time Streaming & Data Insights: Develop capabilities for processing real-time data streams to power dynamic AI dashboards, providing instant analytical insights and responsive user experiences.
- Local Gemini Deployment & Notebook LM: Explore advanced deployment techniques, including local Gemini setup for specific use cases, and leverage Notebook LM for efficient knowledge management and collaborative AI development.
-
Benefits / Outcomes
- Accelerated AI Career & Portfolio: Gain expertise to excel in AI Developer or Solutions Architect roles, completing three production-ready AI projects that significantly bolster your professional portfolio.
- Strategic Google AI Expertise: Become proficient in Google AI Studio and the Gemini ecosystem, a highly competitive skill set for deploying cutting-edge generative AI solutions.
- Innovation & Automation Competency: Empower yourself to rapidly prototype and deploy AI-driven automation solutions, transforming business processes and fostering innovation within your organization.
-
PROS
- Project-Driven Learning: Course structured around building three practical, deployable AI applications for robust hands-on experience.
- Cutting-Edge Technology: Focuses on Google AI Studio and latest Gemini models, ensuring relevant and future-proof skill acquisition.
- Efficient Skill Acquisition: Concise 10.9-hour duration provides intensive, high-value learning for busy professionals.
- Strong Portfolio Builder: Concrete projects ready for showcasing demonstrate practical AI development and deployment expertise.
-
CONS
- Fast Pace for Absolute Beginners: The intensive format may challenge individuals without prior coding or AI conceptual understanding, potentially requiring supplemental learning.
Learning Tracks: English,Business,Other Business