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Machine Learning for Business Course
19 May, 2021 - 8:30 am to 20 May, 2021 - 4:30 pm
Venue: Live online via Zoom, Microsoft Teams, Google Meet or similar platform
An End-to-End Guide to Building Machine Learning Projects
As artificial intelligence becomes more commonly adopted across industries and business functions the demand for professionals who are able to solve complex business problems and create business value using machine learning has become increasingly critical. This course covers both the core technology and the business-side of machine learning projects, empowering participants with the end-to-end expertise needed to lead and contribute to machine learning projects and initiatives as well as apply machine learning in their daily work. Frameworks, case-studies, demonstrations, quizzes, and hands-on labs using selected modern enterprise machine learning platforms enhance participants’ learning and expose them to practical environments.
This course takes a no coding, no advanced mathematics approach, making it accessible to executives and professionals in all business functions across all industries.
Get full course details from www.sdscope.com/mlcourse or download the course brochure here
Who This Course Is For
- Individuals seeking to assure or advance their careers in the era of artificial intelligence
- Business leaders seeking to build competitive advantage for their organizations
- Executives, decision makers and professionals from all business functions across all industries including board of directors, executive management, line-of-business management, strategy, finance, human resources, sales, marketing, operations, risk management and compliance, audit, procurement, data science and analytics, project management, legal, supply chain management, product development and management, customer service, administration, business development, IT, engineering
Prerequisites
- No prior knowledge of data science, machine learning, programming, or statistics is assumed
- Ability to use computer programs such as Excel and business applications
- An open mind
Outcomes
Upon successful completion of the course, the participant should be able to:
- Identify business opportunities for machine learning
- Frame a machine learning business problem
- Estimate machine learning project ROI
- Manage a machine learning project
- Measure machine learning project success in financial and qualitative terms
- Manage ethical and legal issues in a machine learning/artificial intelligence project
- Debunk myths and address misconceptions around machine learning/artificial intelligence
- Collect and prepare data for a machine learning project
- Build and evaluate a machine learning model
- Explain the output of a machine learning model
- Identify and remove bias in a model
- Operationalize a machine learning model
- Avoid common technical pitfalls in machine learning
- Evaluate a machine learning model in both technical and business metrics
- Approach modern enterprise machine learning platforms
Agenda
Get full course details from www.sdscope.com/mlcourse or download the course brochure here
Day 1
1. Introduction to Artificial Intelligence and Machine Learning
2. Building Machine Learning Applications
3. Business Problem Definition
4. Data Collection and Data Understanding
5. Data Preparation
6. Model Building and Evaluation: Churn Prevention
Day 2
7. Model Building and Evaluation: Market Penetration
8. Model Building and Evaluation: Customer Segmentation
9. Model Operationalization
10. Legal and Ethical Issues in artificial intelligence and machine learning
11. Epilogue
AWARD
Certificate of Completion upon attending full course
REGISTRATION
To book your seat register using the form at the top of this page, email events@sdscope.com or call +263 77 341 9956.
PRICE PER PARTICIPANT
US$599
COURSE INSTRUCTOR
 |
Shepherd Fungayi CEO SDscope Certified Machine Learning Master – verify credential here Certified Data Engineering Professional – verify credential here Certified Machine Learning Practitioner – verify credential here Started professional career as a telecommunications engineer over 20 years ago Experience building data-driven services Experience includes projects in IT, data analytics and AI in telecommunications and financial industries Profile: www.linkedin.com/in/shepherd-fungayi |
CONTACT DETAILS
Softclick Investments (Pvt) Ltd t/a SDscope
6th Floor Batanai Gardens
57 Jason Moyo Avenue
Harare, Zimbabwe
Phone: +263 242 794 086
Mobile: +263 77 341 9956
Email: events@sdscope.com
Website: www.sdscope.com/mlcourse
Get full course details from www.sdscope.com/mlcourse or download the course brochure here