Learn AI: Computer Vision, NLP, Tabular Data – build powerful models with Google AutoML & Apple CreateML
β±οΈ Length: 3.6 total hours
β 4.54/5 rating
π₯ 114,114 students
π October 2023 update
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- Course Overview
- Embark on a transformative journey into the world of Artificial Intelligence and Machine Learning, specifically designed for individuals with no prior coding experience.
- This comprehensive program demystifies complex AI concepts by leveraging the power of user-friendly, no-code platforms: Google Cloud AutoML and Apple Create ML.
- Gain practical, hands-on experience in building intelligent systems capable of understanding images, processing human language, and predicting numerical outcomes, all through intuitive visual interfaces.
- The course emphasizes a project-based learning approach, enabling you to conceptualize and develop your own AI-powered applications, fostering innovation and practical problem-solving skills.
- With over 114,000 students and a 4.54/5 rating, this program has been updated in October 2023, ensuring you’re learning with the latest advancements and best practices in the field.
- The compact 3.6-hour duration makes it an accessible and efficient way to acquire valuable AI skills that are highly sought after in today’s technology-driven landscape.
- Target Audience & Who Should Attend
- Aspiring AI enthusiasts who are eager to explore machine learning without the barrier of traditional programming.
- Business professionals seeking to integrate AI solutions into their existing workflows and gain a competitive edge.
- Entrepreneurs and product managers looking to prototype and validate AI-driven product ideas quickly.
- Designers and creatives who want to harness the power of AI to enhance their projects and create interactive experiences.
- Anyone curious about the “how” and “why” behind AI technologies like image recognition and text analysis, and wants to build their own functional AI models.
- Students and recent graduates aiming to broaden their skillset with in-demand AI competencies.
- Core Learning Pillars
- Foundational AI Concepts: Grasp the underlying principles of machine learning and artificial intelligence in an accessible, jargon-free manner.
- No-Code Model Development: Master the art of training sophisticated ML models using drag-and-drop interfaces and intuitive workflows.
- Specialized AI Domains: Dive into practical applications within Computer Vision (image analysis), Natural Language Processing (text understanding), and Regression (predictive modeling).
- Problem Identification & Solutioning: Develop the critical thinking skills to recognize real-world challenges that can be addressed with AI and learn how to implement effective solutions.
- Cross-Platform App Development: Understand the process of building AI-enhanced applications that can run on both Android and iOS devices.
- Product Ideation & Prototyping: Cultivate the ability to conceptualize novel product ideas and bring them to life through a guided course project.
- Skills Covered / Tools Used
- Proficiency in Google Cloud AutoML for scalable and robust AI model development.
- Hands-on experience with Apple Create ML for building AI models directly on Apple devices.
- Understanding of data preparation and selection for AI model training.
- Ability to evaluate and interpret the performance of machine learning models.
- Skills in deploying AI models for practical applications.
- Basic principles of app development integration for AI features.
- Creative problem-solving and product conceptualization utilizing AI.
- Benefits / Outcomes
- Gain a tangible portfolio piece through the development of an AI-powered application.
- Develop a strong foundational understanding of AI that can serve as a springboard for more advanced studies.
- Become equipped to identify and propose AI-driven solutions within your personal or professional sphere.
- Unlock opportunities in emerging AI-focused roles without the need for extensive coding background.
- Boost your confidence in understanding and utilizing AI technologies.
- Enhance your resume and marketability with sought-after AI skills.
- Acquire the ability to speak intelligently about AI and its applications.
- PROS
- Extremely Accessible: Perfect for absolute beginners with no prior coding knowledge, thanks to the no-code platforms used.
- Practical & Project-Oriented: Focuses on building real-world applications, providing immediate and tangible results.
- Dual Platform Exposure: Covers both Google (Android ecosystem) and Apple (iOS ecosystem) platforms, broadening applicability.
- High Demand Skills: Equips learners with in-demand AI competencies relevant to a rapidly evolving job market.
- Time Efficient: The short duration makes it easy to fit into a busy schedule for impactful learning.
- CONS
- Limited Customization: No-code platforms, while easy, may offer less granular control and customization compared to traditional coding approaches, potentially limiting advanced model fine-tuning.
Learning Tracks: English,Development,Data Science
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