Artificial Intelligence:
Business Strategies and Applications
STARTS ON
September 09, 2024
DURATION
2 months, online
4—6 hours per week
PROGRAM FEE
USD 2,977
USD 1,977
FOR YOUR TEAM
Enroll your team and learn with your peers
Learn more
Financing Options
Early Bird Special Registration
.......................................
1,997
USD
- Early bird special ends Friday August 23, 2024. Get $1000 discount. Only 24 spots remaining!
Payment Plans
Total Fee Pay in 03 installments
2,997
USD
- Pay in 2 installments First Payment Of 1,499 USD.
- Pay in 3 installments First Payment Of 999 USD .
Invite a Colleague
Amplify your impact
Receive
280
USD
- For each referral when you invite colleagues to the program.
For Organizations
Team-Based Learning
- Upskill with programs from the world's top universities
- Customize skill building across all levels of your business
- Leverage the 90% completion rate of cohort-based learning
Early Registration Benefit
-----------------
USD
2,576
- Enroll before September 9, 2024 and get 500 discount . Only 18 spots remaining!
Payment Plans
Total Fee Pay in 03 installments
USD
2,576
- Pay in 2 installments First Payment Of US$1,400
- Pay in 3 installments First Payment Of US$886
Invite a Colleague
Amplify your impact
US$
280
Receive
- For each referral when you invite colleagues to the program.
For Organizations
Team-Based Learning
- Upskill with programs from the world's top universities
- Customize skill building across all levels of your business
- Leverage the 90% completion rate of cohort-based learning
How Is AI Transforming Business?
According to Bloomberg, generative AI is anticipated to become a US$1.3 trillion market by 2032. A recent survey by New Vantage Partners found that 91.7 percent of top organizations are investing in Artificial Intelligence activities, and 54 percent of organizations using Artificial Intelligence reported cost savings and efficiencies in a study by IBM. With advancements in machine learning, automation, and natural language processing, AI, particularly generative AI, is revolutionizing traditional business models in unprecedented ways and is poised to drive a new wave of innovation and evolution across industries.
Artificial Intelligence Academy (AiA) offers a vast array of capabilities with virtually limitless potential, including automating repetitive tasks, providing predictive insights, enabling personalized customer experiences, optimizing supply chain management, and improving risk assessment. As generative AI continues to transform every aspect of modern business, organizations that embrace it will be empowered to unlock new opportunities, achieve operational efficiencies, and drive sustainable growth, gaining a competitive advantage.
In this program, you will:
- Learn AI’s current capabilities and applications and its future potential
- Learn how to leverage generative AI models and simulations for prediction
- Learn how to organize and manage successful artificial intelligence application projects
- Grasp the technical aspects of artificial intelligence well enough to communicate effectively with technical teams and colleagues
- Learn how to avoid pitfalls associated with these new technologies
- Build your leadership credibility by obtaining a certificate of completion from Artificial intelligence Academy (AiA) Executive Education
Program Topics
This program helps introduce the basic applications of AI to those in business. While participants learn about generative AI’s current capabilities and potential, they also gain deeper knowledge about the reach of automation, machine learning, and robotics.
Lecture Topics:
1) Overview of AI: Definitions and Concepts
2) Historical Context and Evolution of AI
3) The Impact of AI on Business: Case Studies and Examples
Assignments:
Write an essay on the history of AI and its impact on a specific industry.
Quiz:
Multiple-choice questions covering AI definitions, history, and basic concepts
Lecture Topics:
1) Introduction to Machine Learning (ML)
2) Types of ML: Supervised, Unsupervised, and Reinforcement Learning
3) Key Algorithms and Techniques
Assignments:
Implement a simple ML model using a provided dataset.
Quiz:
Multiple-choice and short answer questions on ML types and algorithms
Lecture Topics:
1) Fundamentals of Neural Networks
2) Deep Learning Architectures: CNNs, RNNs, and GANs
3) Training and Optimization Techniques
Assignments:
Build and train a neural network on a dataset using a deep learning framework.
Quiz:
Multiple-choice questions on neural network structures and deep learning
principles
Lecture Topics:
1) Computer Vision: Techniques and Applications
2) Natural Language Processing (NLP): Techniques and Applications
3) Real-world Applications: Facial Recognition, Sentiment Analysis, etc.
Assignments:
Choose an application (Computer Vision or NLP) and develop a small project.
Quiz:
Questions on specific techniques and real-world applications.
Lecture Topics:
1) Overview of Robotics and AI Integration
2) Types of Robots and Their Business Applications
3) Current Trends and Future Prospects in Robotics
Assignments:
Research and present a report on the use of robotics in a specific industry.
Quiz:
Multiple-choice questions on robotics basics and applications.
Lecture Topics:
1) Developing an AI Strategy for Your Business
2) Identifying AI Opportunities and Challenges
3) Case Studies on Successful AI Implementations
Assignments:
Create a strategic plan for integrating AI into your business.
Quiz:
Case study analysis and strategic planning questions.
Mid-Term Exam
Format:
Combination of multiple-choice, short answer, and essay questions covering
Modules 1-6.
Lecture Topics:
1) Organizational Roles and Responsibilities in AI
2) Skills and Expertise Needed for an AI Team
3) Best Practices for Recruiting and Developing AI Talent
Assignments:
Design an ideal AI team structure for a hypothetical company.
Quiz:
Questions on team roles, skills, and recruitment strategies.
Lecture Topics:
1) Emerging Trends and Technologies in AI
2) Predicting the Future Impact of AI on Various Industries
3) Ethical Considerations and Responsible AI
Assignments:
Write a white paper on the future of AI in a chosen industry.
Quiz:
Questions on future trends and ethical considerations
Lecture Topics:
1) Detailed Case Studies of AI Implementations
2) Lessons Learned and Best Practices
3) Overcoming Common Implementation Challenges
Assignments:
Analyze a case study and identify key success factors and challenges.
Quiz:
Case study-based questions.
Lecture Topics:
1) Planning and Executing an AI Project
2) Project Management and Evaluation
3) Presenting AI Solutions to Stakeholders
Assignments:
Develop a comprehensive AI project proposal and implementation plan.
Quiz:
Project management and execution questions.
Final Exam
Format:
Comprehensive exam covering all course modules with multiple-choice, short
answer, and essay questions.
Lecture Topics:
1) Building a Strong AI Portfolio
2) Networking and Industry Connections
3 Job Search Strategies and Interview Tips
Assignments:
Create a professional portfolio showcasing your AI projects and skills.
Develop a personal career plan and job search strategy.
1) Review of key learnings and takeaways.
2) Discussion on continuing education and career advancement in AI.
This course outline ensures that learners gain a deep understanding of AI and its applications in
business, along with practical skills and strategic insights to implement AI solutions effectively.
Live Sessions
The program includes four live sessions that cover the most recent trends in genAI and its future applications. Each session is led by renowned faculty. These sessions will be recorded and made available for later viewing.*
Live Session 1: The Business of AI Today
Understand the latest business applications of Artificial Intelligence, such as natural language processing (e.g., ChatGPT), the generative AI landscape, and language models.
Live Session 2: Generative AI Models and Simulation for Prediction
Discuss simulation and prediction as a lens for understanding generative models based on transformers and physics-based models.
Live Session 3: AI and Organizations — Building Your AI Team
Understand how the tools of AI and machine learning can enable the assessment of different facets of organizational culture and discuss technology-enabled approaches for shifting it in ways that support performance.
Live Session 4: The Future of AI in Business
Examine recent trends and interesting research in the field of artificial intelligence, including algorithmic bias and how to correct it.
Note: live sessions mentioned here are subject to change.
Capstone Project
Across the eight modules, you will develop and refine an AI project or initiative for your organization. The project culminates in a business case and plan that uses genAI to transform at least one aspect of the business. You have the opportunity to put the plan into action after testing its elements throughout the program. If you do not have an organizational project or initiative to develop, faculty will provide project ideas.
Your Learning Journey
You can expect a hands-on approach that builds a bridge between the engineering and technical aspects of AI and its business applications. Leading faculty from both disciplines teach in the program, bringing their diverse experiences. The program includes live and recorded lectures, case studies, assignments, applied learning opportunities, and interactive discussion groups. The program includes four live teaching sessions, real-world examples, and a capstone project. You will also engage in live faculty sessions that will delve into trending AI topics, such as the business and future of AI, prediction simulations, and building AI teams.
This program requires no engineering or technical experience. As the program progresses, you will learn the basics of artificial intelligence technologies and how they can be applied to your organization. It is not about becoming a technical expert but rather having a foundational understanding of AI and how it can be positioned to improve efficiency and effectiveness across your organization.
Organizational Examples
In order to deepen your understanding of key concepts and encourage critical thinking, we will examine several “real-world” or “business” examples.
Case Study
Digital transformation has implications for a an organization’s strategy. What is an appropriate change management strategy when implementing AI and machine learning? We’ll tap Vodafone for insights.
Other case studies covered in this program are Skydio and Zipline, Self-driving cars, and warehouse and factory automation (Covariant).
Participant Testimonials
Program Experience
Live teaching sessions to deliver learning in real time
Cross-disciplinary approach through diverse faculty
Real-world applications
Capstone project: AI initiative for your organization
Certification
Get recognized! Upon successful completion of the program, Artificial intelligence Academy (AiA) Executive Education grants a verified digital certificate of completion to participants. Participants must complete 80 percent of the required activities including a capstone project (if any) to obtain the certificate of completion. This program also counts toward a Certificate of Business Excellence.
Note: This program results in a digital certificate of completion and is not eligible for degree credit/CEUs. After successful completion of the program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Artificial intelligence Academy (AiA) Executive Education.
This program counts toward a Certificate of Business Excellence
Curriculum Days: Two days
Pillar(s): Entrepreneurship & Innovation or Strategy & Management
A Artificial intelligence Academy (AiA) Certificate of Business Excellence gives individuals the opportunity to create a personal plan of study structured by our four academic pillars. Participants will earn a mark of distinction with certification from a world-class university, and enjoy the flexibility of completing the program in up to three years.
FAQ
Gain a high-level overview of technologies, including capabilities and limitations, while understanding generative AI, its methods, and its business applications.
Learn about supervised and unsupervised learning and the importance of data and obtaining and managing it for machine learning.
Understand the transition from traditional machine learning to neural networks and deep learning and their common applications.
Learn about the ways machines see and talk computer vision, natural language processing, and genAI as well as recent developments such as GANs and RNNs.
Grasp what traditional robotic automation can and cannot do and the new wave of AI-driven automation, such as robots with eyes and robots that can adapt.
Recognize the implications of genAI on business strategy and how to develop and execute an AI strategy to create a competitive advantage.
Didn’t find what you were looking for? Write to us at info@artificialintelligenceacademy.net
or schedule a call with one of our Program Advisors or call us at 1(786)981-8684 /1(833)938-1152 (TOLL FREE) .Our Address: 175 SW Seventh Street Miami, FL 33130 United States.
or schedule a call with one of our Program Advisors or call us at 1(786)981-8684 /1(833)938-1152 (TOLL FREE) .Our Address: 175 SW Seventh Street Miami, FL 33130 United States.
Early bird special ends Friday August 16, 2024. Get $1000 discount.Only 24 spots remaining!
Artificial intelligence Academy (AiA) Executive Education is collaborating with online education provider Emeritus to offer a portfolio of high-impact online programs. These programs leverage Artificial intelligence Academy Executive Education’s thought leadership in management practice developed over years of research, teaching, and application. By working with Emeritus, we are able to broaden access beyond our on-campus offerings in a collaborative and engaging format that stays true to the quality of the Artificial intelligence Academy (AiA).
The AiA program has transformed our tech approach with its practical insights into AI. The expert-led sessions and hands-on projects were exceptional. We've already started seeing improvements in our AI strategies.
Emily Rodriguez Chief Technology Officer