AI and ML Foundations for Business Leaders
Wield the Science of Data to Generate Insights and Make Business Decisions
Lead business practices by leveraging the power of AI & ML
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Course Length
2 Weeks
Effort
4 Hours/ Week
100% Online
With Continuous Learning Community support + Monthly Live Webinars
Learning Access
Resource Toolkit + Unlimited Networking Events + Practice Session with Coach (Optional)
What will you Learn?
- This artificial intelligence course will help you understand the difference between AI, ML & Deep Learning
- Learn the principles and application of Machine Learning by getting machine learning certification
- An extensive machine learning course that deciphers the role of Big Data and capitalizes as an enabler of AI
- Derive value with analytics through applications of AI & ML
- Apply the science of Robotics to technology-enabled business context
Key Topics Covered
- Difference between AI & ML
- Interlocks of AI, ML and Deep Learning
- AI Maturity Framework
Course Content
Chapter 1: Overview of AI as a contemporary Discipline
Faculty Introduction & Areas of Expertise
Learning Objective & Skill Outcomes
Deciphering Artificial Intelligence
Transformational Impact of AI on Human Lifes
Chapter Quiz
Additional Learning Resources
Learning Objective & Skill Outcomes
Deciphering Artificial Intelligence
Transformational Impact of AI on Human Lifes
Chapter Quiz
Additional Learning Resources
Chapter 2: Enabling Role of AI across Decision Contexts
Application of AI & Robotics
Role of Big Data as an enabler of AI
Navigating the AI Maturity Framework
Chapter Quiz
Additional Learning Resources
Role of Big Data as an enabler of AI
Navigating the AI Maturity Framework
Chapter Quiz
Additional Learning Resources
Chapter 3: The Interdisciplinary interlocks of AI, ML & Deep Learning
Unravelling Machine Learning as a Discipline
Differentiating Artificial Intelligence, Machine Learning and Deep Learning
Varied types of Machine Learning
Chapter Quiz
Additional Learning Resources
Differentiating Artificial Intelligence, Machine Learning and Deep Learning
Varied types of Machine Learning
Chapter Quiz
Additional Learning Resources
Chapter 4: Relevance & Roles of Data Science, AI & ML
Disciplines of Data Science Drivers and Roles of AI & ML Artificial Intelligence & Machine Learning derived roles & skills Sample Tech Stack of AI & ML Chapter Quiz Additional Learning Resources
Chapter 5: Leveraging Data Science AI & Analytics as Value Drivers
The Process Approach to Data Science
Challenges in the realm of AI
Traits & Compof Data Professional
Exploring and familiarizing with the Discipline of Analytics
Chapter Quiz
Additional Learning Resources
Challenges in the realm of AI
Traits & Compof Data Professional
Exploring and familiarizing with the Discipline of Analytics
Chapter Quiz
Additional Learning Resources
Resource Library
IPL Resource Library
Recommended Readings and Books
Recommended Books
What Learners Say About Our Program
KavithaTechM
This course taught me new ideas, techniques that I can apply to real-world scenarios
KarmarkarWintech Solutions
A very comprehensive course. I am now more confident in applying statistical techniques in my role as a Data Analyst
Ideal For
- Software Developers
- Project Managers
- Product Managers
- and Data Analysts.
Common Scenarios to Enroll
"Enterprises in 2019 and beyond will continue to focus on advanced solutions and adopt technologies like artificial intelligence and machine learning to deliver a better customer experience."
Data Science - AI Trends by Analytics India
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