Artificial Intelligence Product and Process Innovation
Everything you need to know about building insanely good AI products, improving processes and invest in AI innovation
Watch Promo Let 's go- Self-Paced Content| No Strict Timing Obligations
- Real Use Cases| Extensive Case Based Learning.
- Content Curated from Silicon Valley Product Specialists
- Certification of completion. Display it on linkedin upon completion.
- All Entry Levels, ideal for non-technical or technical managers with no previous machine learning education.
- Includes 20 hours of video classes and 10 hours frequently updated readings, use cases and trends.
- Forever access, anywhere anytime.
- This course saves you 18-24 months of education and work experience.
- This Course Includes also the A.I. and M.L. Course
When new technology breakthroughs emerge so do opportunities.
Artificial intelligence will change the productivity in business processes as well as the way we carry our daily tasks! At this exciting time, you may want to try something new in your career or within your company taking on an exciting and rewarding job.
You have a lifetime opportunity to build a leading product in your company or improve a process that has a significant impact on your organization’s bottom line. Artificial Intelligence (Ai) and Machine learning (ML) are suited to do exactly that. If you want to lead a new product or process implementation, you do not need to have a PhD in computer science or a Masters in computer science. In fact, you do not even need to be technically educated.
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Your Instructor
I am Paolo, although I was born and raised in Italy I live in Silicon Valley, California! I am single and my family still lives in Italy. I am a scientist with an MBA. I have lived on 3 continents and over 18 cities in the last 18 years and that is really a long story to tell…
I consider myself a cultural hybrid of the three countries that have hosted me the longest, USA, Italy and Germany. I love to tell people that:
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I am as creative as Michelangelo,
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as precise and obsessed about processes as a German Engineer,
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forward-looking and think big like American Pioneers!
Whatever reality is, the cultures of these three lovely countries have left their mark on who I am today.
Product and process innovation are at the core of what I have been doing for years. My unique perspective is to combine science, all the way from universities and research labs, to engineering, product, and digital marketing! That’s where my passion is today.
With Innodemia, I want to share that passion with the world and possibly help those who are taking this journey in tech-driven innovation to make fewer mistakes than I have and possibly do it a bit faster.
Most importantly, I want to simplify the cryptic and complex language of science and engineering and making innovation more accessible to the largest number of diverse players.
Is This Course For Me?
Course Summary
In the following video we illustrate the course material and objectives.
Course Curriculum
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StartIntroduction (1:23)
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StartFactors impacting an artificial intelligence product: an overview (13:38)
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StartInterlude: How Managers Should Look at Data and Machine Learning Products (3:12)
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StartProduct Research an introduction Part-1 (13:30)
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StartInterlude: The ingredients of an AI Product Research (3:02)
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StartProduct Research An Introduction Part-2 (7:34)
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StartInterlude: How Managers Should Invest Resources To Create Business Value (3:09)
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StartProduct Research An Introduction Part-3 (12:02)
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StartInterlude: Guidelines to Build AI Products That Work for Users. (2:42)
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StartInterlude: Insights For Successful A.I. Product Development (3:30)
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StartDesign and implement a product incorporating machine intelligence Part-1 (15:38)
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StartInterlude: How to Spot relevant Machine Learning Trends To Use In Your Products (3:38)
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StartDesign And Implement A Product Incorporating Machine Learning Part-2 (17:13)
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StartDesign and implement a product incorporating machine intelligence Part-3 (15:10)
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StartLaunching the new product (8:17)
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StartInterlude: The Complexity Of Real A.I. Projects Implementation : A CTO View Point (3:29)
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StartProduct maintenance and improvement over time (8:10)
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StartView Point: CTO View Point On Machine Learning and A.I. Trends (3:20)
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StartView Point: AI Strategist On The Challenges of Real Implementations (2:34)
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StartSection Slides (4:30)
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StartIntroduction (0:39)
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StartArtificial Intelligence, Machine Learning and the process overview (17:03)
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StartUnderstanding the machine learning process Part-1 (11:17)
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StartUnderstanding The Machine Learning Process Part-2 (12:54)
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StartUnderstanding the machine learning process Part-3 (11:41)
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StartSupervised Learning: Regression Part-1 (7:31)
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StartSupervised Learning: Regression Part-2 (19:03)
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StartSupervised Learning: Introduction to Classification (8:26)
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StartSupervised Learning: Classification with KNN (6:53)
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StartSupervised Learning: Classification: Logistic Regression (14:35)
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StartSupervised Learning: Logistic Regression Advanced Topics (6:02)
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StartSupervised Learning: Classification: Support Vector Machines (14:15)
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StartSupervised Learning: Classification: Decision Tree (14:55)
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StartSupervised Learning: Classification: Random Forest (7:49)
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StartHow to select the proper algorithm to solve a machine learning problem (3:48)
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StartA recipe to select the proper algorithm (3:53)
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StartWhy we need the Deep Learning Technology (3:50)
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StartSupervised Learning: Deep Learning Fundamentals (22:08)
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StartBridging Artificial Neural Networks with Deep Neural Networks (4:22)
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StartSupervised Learning: Convolution Neural Networks (22:50)
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StartSupervised Learning: Recurring Neural Networks. (16:20)
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StartUnsupervised Learning: Intro and clustering methods (12:33)
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StartUnsupervised Learning: Principal Component Analysis (12:59)
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StartCourse Slides
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Designing Intelligent System Method
In the following video we explain the methodology we use for making the course widely accessible
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Real Case Scenario Approach