Artificial intelligence is one of the fastest-growing and most exciting fields in computer science today. Our artificial intelligence courses will give you the skills and knowledge you need to stay ahead of the curve in this rapidly-changing field. You will learn about the latest Artificial Intelligence research, algorithms, and applications, and gain hands-on experience with cutting-edge tools and techniques. Whether you are looking to start a career in Artificial Intelligence (AI) or simply want to stay up-to-date on the latest developments, these courses are a great way to get started.
Our curriculum has been carefully-crafted to provide you with the breadth and depth you need to make smarter business decisions, lead AI teams, and devise an AI strategy for your organization. Accordingly, it covers the most business-relevant technologies and diverse industry applications to turn you into an AI-empowered leader.
https://www.mygreatlearning.com/ai-for-leaders-course
Curriculum
- 9 Sections
- 84 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Section 1: Understanding AI through DataThink of this as a foundation course. We believe in building strong foundations and this module has been designed as a refresher to AI. We will be taking you through some of the jargons, terms and news around AI. The first module completely focuses on understanding AI through the given data. As data is the primary source of achieving AI, you will gain insights with regards to data and understand how to execute AI operations.18
- 1.1Lesson 1: Introduction to Artificial Intelligence
- 1.2Lesson 2: Explosion in AI
- 1.3Lesson 3: Business application and its limitations
- 1.4Lesson 4: Building AI project
- 1.5Lesson 5: ROI Calculation
- 1.6Lesson 6: Case Study
- 1.7Lesson 7CopyCopy
- 1.8Lesson 8: Data Visualization using KNIME
- 1.9Lesson 9: What is Data?
- 1.10Lesson 10: Numerical and Textual data
- 1.11Lesson 11: Graphs & Networks
- 1.12Lesson 12: Time series data
- 1.13Lesson 13: Different types of data objects
- 1.14Lesson 12: Understanding Visual metrics – Mean, Median & Mode
- 1.15Lesson 12: Introduction to KNIME
- 1.16Lesson 12: Visualizing data using KNIME studio
- 1.17Lesson 12: Data Manipulation using KNIME studio
- 1.18Quiz 1CopyCopy10 Minutes13 Questions
- Section 2: Supervised LearningIlla utilitates superabat libentius mortuum aliqua ultimum consequentia magnam consentaneum pueri12
- Section 3: Neural Networks & Ensemble TechniquesContemnere convenit oritur d dissimilis quoquo cognitioque cariorem dixisset videremus officia tributa ducitur12
- Section 4 : Unsupervised LearningQuaerenda delectabatur verbi idemne ducem captum caret meliusque utram existimas facilius sane lustravit pericli14
- Section 5 : Deep Learning – CV & NLPAcies levitatis relinquo sapientia finxerit debeas sapienter vivatur istius vitio ordiamur epuletur13
- Section 6 : AI in PracticeRatio turpitudinis vitae reperire praeceptum pertectam aristidem arte quoniam declaret sextus cui10
- Section 7: Self-paced ModuleDasne paulumque sine auditor ceteris bonis consequens attinet iustus ortus reperiemus sempiternam12
- Section 8: Capstone Project0
- Section 9: Certificate of Completion0
Instructors
No student enrolled.
FAQs
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Requirements
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