Master Gemini Pro, Imagen, Codey & Chirp. Build AI apps, chatbots, images & voice with Google’s AI platform
β±οΈ Length: 10.3 total hours
β 4.29/5 rating
π₯ 34,519 students
π November 2025 update
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- Course Overview
- Dive into an accelerated, comprehensive bootcamp designed to transform you into a proficient developer leveraging Google’s cutting-edge generative AI.
- Equips you with practical expertise to conceptualize, design, and implement sophisticated AI-powered applications, moving from theory to tangible creation.
- Explores Google AI Studio as your primary integrated development environment for experimenting, iterating, and deploying diverse AI solutions.
- Provides a forward-looking perspective on AI development, with content updated to reflect latest advancements expected in the 2026 landscape.
- Highlights strategic advantages of building within Google’s cohesive, scalable ecosystem, ensuring robust, production-ready applications.
- Focuses on rapid prototyping and iterative development, enabling quick translation of innovative AI ideas into functional solutions.
- Teaches navigation of ethical considerations and responsible AI development practices for powerful generative models, ensuring beneficial and fair creations.
- Requirements / Prerequisites
- Fundamental Programming Aptitude: Basic understanding of programming logic and syntax, Python exposure beneficial for code examples.
- Internet Connectivity & Web Browser: Stable internet access and a modern browser essential for cloud-based platforms and tools.
- Conceptual Grasp of AI/ML: High-level familiarity with AI/ML concepts (e.g., algorithms) facilitates smoother learning.
- Commitment to Hands-on Learning: Active engagement with coding exercises and project builds is crucial for success.
- Google Account: Standard Google account required for Google AI Studio and integrated services.
- No Prior Google AI Studio Experience: Course introduces the platform from the ground up.
- Basic Problem-Solving Skills: Analytical mindset and eagerness to troubleshoot enhance learning and project development.
- Skills Covered / Tools Used
- Advanced Prompt Engineering: Master crafting precise, effective prompts for large language models, including chain-of-thought and few-shot strategies.
- Multimodal AI Application Design: Develop proficiency in designing applications integrating text, image, and audio generation for rich user experiences.
- API Management & Optimization: Gain practical skills in consuming and efficiently managing Google’s AI APIs, encompassing robust authentication, sophisticated error handling, proactive rate limiting, and strategic cost optimization for large-scale requests.
- Cloud Deployment Fundamentals: Learn basics of deploying AI applications in a cloud environment, understanding serverless functions and containerization.
- Version Control for AI Projects: Implement best practices for managing code and model versions, ensuring reproducibility and collaborative development (e.g., Git).
- Ethical AI Development & Bias Mitigation: Acquire knowledge in identifying and addressing potential biases, understanding fairness, and building responsible AI systems.
- Performance Monitoring & Debugging: Develop techniques for monitoring deployed AI application performance, identifying bottlenecks, and debugging efficiently.
- Custom AI Workflow Automation: Design and implement automated workflows leveraging AI models for diverse tasks, from data processing to content generation.
- Data Preparation for AI Models: Understand critical steps in preparing and formatting data for optimal input into generative AI models.
- Google Cloud Platform (GCP) Services Integration: Learn to strategically integrate complementary GCP services (data storage, compute) to extend application capabilities.
- Benefits / Outcomes
- Portfolio-Ready AI Solutions: Conclude with a robust portfolio of real-world AI applications, showcasing practical skills to employers or clients.
- Competitive Edge in the AI Job Market: Position yourself as a highly sought-after professional with specialized expertise in Google’s generative AI technologies.
- Unleash Creative AI Innovation: Transform innovative ideas into functional AI prototypes and products, fostering continuous creative problem-solving.
- Accelerated Career Growth: Acquire future-proof, high-demand skills, paving the way for advanced roles in AI development, engineering, and product management.
- Efficient AI Project Development: Master methodologies for rapidly developing, testing, and deploying AI applications, significantly reducing development cycles.
- Strategic Problem Solving with AI: Develop a keen eye for identifying business challenges effectively addressed and optimized using Google’s generative AI tools.
- Contribution to AI Transformation: Become an agent of change within organizations, driving adoption and integration of intelligent automation and AI solutions.
- Foundation for Advanced AI Specializations: Establish a strong base for further specialization in MLOps, AI research, or advanced model fine-tuning.
- PROS
- Cutting-edge Content: Explicitly updated (November 2025 for 2026 title), ensuring the latest in Google’s AI Studio and Gemini ecosystem.
- Practical & Project-Based Learning: Strong emphasis on hands-on application and real-world projects, crucial for skill retention and portfolio.
- Leverages Google’s Robust Ecosystem: Benefits from Google’s extensive cloud infrastructure, AI research, and continuous innovation.
- Multimodal AI Focus: Covers text, image, code, voice, enabling versatile and interactive application creation.
- High Student Satisfaction: A 4.29/5 rating from over 34,000 students indicates a well-received and effective learning experience.
- Accessible Learning Platform: Utilizes Google AI Studio, a user-friendly platform for rapid AI solution prototyping and deployment.
- CONS
- Requires Consistent Dedication: As an intensive bootcamp, it demands significant self-discipline and consistent engagement to master concepts and complete assignments.
Learning Tracks: English,Development,Web Development
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