AI+ Research
The AI Researcher course is designed for individuals aiming to conduct research in AI, covering advanced AI methodologies, experimental design, and exploring cutting-edge technologies in the AI field.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
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Prerequisites:
Required:
- Understand fundamental concepts of AI, machine learning, and deep learning and their impact on research.
- Explore AI applications in market research, including audience analysis and marketing insights.
- Leverage AI tools for scientific discovery, data analysis, and advanced research.
- Integrate AI into academic workflows to enhance research productivity and writing.
- Address ethical considerations and data privacy in AI research, developing responsible AI guidelines.
Recommended:
- AI+ Everyone or AI+ Executive
Target Audience:
- Database Analyst
- Data Analyst
- Data Scientist
Course Objectives:
- Understand fundamental concepts of AI, machine learning, and deep learning and their impact on research.
- Explore AI applications in market research, including audience analysis and marketing insights.
- Leverage AI tools for scientific discovery, data analysis, and advanced research.
- Integrate AI into academic workflows to enhance research productivity and writing.
- Address ethical considerations and data privacy in AI research, developing responsible AI guidelines.
Course Outline:
Introduction to Artificial Intelligence (AI) for Researchers
- Understanding AI, Machine Learning, and Deep Learning
- Overview of AI Tools and Technologies
- AI’s Impact on Research
AI in Market Research
- Introduction to AI in Market Research
- Audience Analysis and Persona Creation Using AI
- Using AI for Branding and Marketing Insights
Leveraging AI for Scientific Discovery
- AI in Data Science and Analysis
- Machine Learning Models in Scientific Research
- AI for Drug Discovery and Advanced Research
AI for Academic and Scholarly Research
- Integrating AI into Academic Workflows
- Ethical Considerations in Academic AI Use
- AI Tools for Enhancing Academic Research and Writing
Enhancing Research with AI Tools
- AI for Qualitative and Quantitative Research
- AI Tools for Data Visualization and Analysis
- Case Studies of AI in Research