AI for Business Innovation: From GenAI to POCs
AI for Business Innovation: From GenAI to POCs
AI for Business provides learners with a robust understanding of AI, Generative AI, Machine Learning, Natural Language Processing and Computer Vision. By utilizing KNIME workflows and engaging in proof-of-concept development
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Course outline
Industry focussed curriculum designed by experts
Introduction to AI
4 items
0.54 hr
- Overview of AI
- Deep Learning Terminologies
- Machine Learning Terminologies
- Case Study
Fundamentals of Generative AI
7 items
1.09 hr
- Introduction to Generative AI - Definitions
- Introduction to Generative AI - Mind Map
- Supervised and Unsupervised Learning
- Discriminative AI vs. Generative AI
- Brief History of Generative AI
- A Peek into Generative AI Models
- Business Problems Solved by Generative AI
Core Pillars of AI: ML, Neural Networks, NLP, and Computer Vision
14 items
1.58 hr
- Introduction to Machine Learning and its Types
- Introduction to Neural Networks
- Feedforward Neural Network
- Topology of a Neural Network
- Error and Loss Function
- What is NLP
- Common NLP Terminology
- Applications of NLP
- Challenges in NLP
- Introduction to Computer Vision
- Types of Computer Vision Problems
- Pixel
- How a Computer Sees an Image
- Convolution
KNIME for AI Practitioners: A Practical Guide
10 items
3.16 hr
- The AI, Data Science and Machine Learning Platforms
- KNIME - Overview of Features
- KNIME - What and Why
- KNIME - Installation and Demo
- KNIME - Visualization Part 1
- KNIME - Visualization Part 2
- KNIME - Regression Hands-on
- KNIME - Logistic Regression Hands-on
- KNIME - KMeans Hands-on
- KNIME - Neural Network Regression
Building a Proof of Concept for AI Projects
15 items
2.49 hr
- Building POC Outline
- Company Values
- Solution at a glance
- Market Potential
- Threats and Opportunities as the Market Grows
- Target Customers
- Requirements, Data, and People
- Product Roadmap
- Expansion Plan
- Business Plan Financially
- Different AI Techniques in Industry with Examples
- AI Techniques & Their Relevance to Domains
- Identifying AI Use Cases
- Narrowing in on AI Use Case
- Tips for Building a Successful AI Product
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Start 7-Day Free TrialGuided Projects
Solve real-world projects with a step-by-step guide, starter code templates, and access to model solutions to boost your skills and build a standout resume.
- GUIDED PROJECT 1
- Customer Segmentation for E-commerce using KNIME
- This project focuses on implementing customer segmentation for an e-commerce platform using the KNIME Analytics Platform. By analyzing customer transaction data, learners can identify distinct customer segments, enabling businesses to tailor their marketing strategies more efficiently. The project reinforces fundamental concepts of AI and practical skills in data analysis, utilizing generative AI techniques relevant to e-commerce. This hands-on experience will empower learners to apply AI concepts in real-world business settings.
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Start 7-Day Free TrialCourse Instructors
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
Dr. Pavankumar Gurazada
Senior Faculty, Academics, Great Learning
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