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Mentor Based

AI for Psychological and Behavioral Analysis

Explore the Intersection of AI and Psychology: Analyze, Predict, and Understand Human Behavior

Enroll now for early access of e-LMS

MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Moderate
DURATION
3 Weeks

About

This program explores the intersection of psychology and AI, focusing on tools that analyze human emotions, behaviors, and decision-making. It covers sentiment analysis, facial expression recognition, and natural language processing for psychological assessment.

Aim

To introduce participants to how AI can be applied to psychological and behavioral analysis, including emotional detection, personality assessment, and behavioral predictions. This course teaches the use of AI for understanding human behavior through data analysis.

Program Objectives

  • Master AI techniques for analyzing emotions and behaviors.
  • Understand how AI can assess personality traits and psychological conditions.
  • Develop AI models to predict human decisions and behaviors.
  • Learn ethical considerations in using AI for psychological analysis.
  • Gain hands-on experience with AI-powered tools for mental health and therapy.

Program Structure

  1. Introduction to AI in Psychology and Behavioral Analysis
    • Overview of AI Applications in Psychology
    • Use Cases: Mental Health Monitoring, Personality Detection, Behavioral Prediction
    • Ethical Considerations in AI for Behavioral Analysis
  2. Fundamentals of Behavioral Data Collection
    • Sources of Behavioral Data: Social Media, Surveys, Wearables
    • Techniques for Data Collection in Behavioral Studies
    • Ethical Guidelines for Collecting and Using Behavioral Data
  3. Natural Language Processing (NLP) for Behavioral Analysis
    • NLP Techniques for Analyzing Text-Based Behavior
    • Sentiment Analysis, Emotion Detection, and Personality Assessment
    • Case Studies: Analyzing Social Media for Mental Health Signals
  4. AI for Personality Analysis
    • Introduction to Personality Models (Big Five, Myers-Briggs)
    • AI Techniques for Detecting Personality Traits from Text and Social Media
    • Applications in Marketing, Human Resources, and Psychotherapy
  5. Emotion Recognition with AI
    • AI Techniques for Emotion Detection from Text, Voice, and Video
    • Sentiment and Emotion Analysis in Real-Time Applications
    • Case Studies: AI-Driven Mental Health Monitoring Systems
  6. Behavioral Prediction with AI
    • Predicting Human Actions and Behaviors Using AI Models
    • AI for Analyzing Behavioral Data from Wearables (e.g., Fitbit, Smartwatches)
    • AI for Predicting Consumer Behavior and Decision Making
  7. Facial Recognition and Body Language Analysis
    • AI for Analyzing Facial Expressions and Body Language
    • Deep Learning Techniques for Human Emotion and Behavioral Recognition
    • Use Cases: AI for Detecting Deception, Stress, and Anxiety
  8. AI for Mental Health Diagnostics
    • AI-Driven Tools for Diagnosing Mental Health Disorders
    • Predicting Depression, Anxiety, and PTSD from Social Media and Behavioral Data
    • Applications of AI in Therapeutic Interventions
  9. AI and Behavioral Economics
    • AI for Understanding Human Decision-Making and Preferences
    • Applications of AI in Behavioral Finance
    • Predicting Economic Behavior through AI Analysis
  10. AI and Cognitive Science
    • Cognitive Models and AI Techniques for Understanding Human Thought
    • AI for Modeling Cognitive Processes: Attention, Memory, and Learning
    • AI Applications in Cognitive Behavioral Therapy (CBT)
  11. Ethics and Privacy in AI-Driven Behavioral Analysis
    • Addressing Ethical Issues in AI for Psychological Analysis
    • Privacy Concerns in Behavioral Data Collection and Analysis
    • AI Bias and Its Impact on Psychological Assessments

Participant’s Eligibility

Psychologists, AI engineers, researchers, and professionals in mental health or behavioral science.

Program Outcomes

  • Proficiency in using AI for emotion and behavioral analysis.
  • Expertise in AI-based psychological assessments and therapies.
  • Ability to develop predictive models for human behavior.
  • Skills in integrating AI tools into mental health care and decision-making.

Fee Structure

Fee:       INR 8,499             USD 112

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies

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Key Takeaways

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Future Career Prospects

  • AI Behavioral Scientist
  • AI Psychologist
  • Mental Health Data Analyst
  • AI-Driven Cognitive Therapist
  • AI Emotional Analytics Expert
  • Human Behavior Analyst

Job Opportunities

  • Mental health startups using AI for psychological support tools.
  • Research institutions exploring AI-based behavioral studies.
  • Healthcare firms implementing AI for patient behavioral tracking and therapy.

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Recent Feedbacks In Other Workshops

Please prepare better material with both foundamentals on the topics and manifacturing processes. More It was not a good idea to just use existing slides from other presentations put together.
Other sources for informations should also be presented for self tuition

GC Faussone : 2025-01-23 at 10:09 pm

great knowledge about topic.


Mr. Pratik Bhagwan Jagtap : 2025-01-22 at 7:29 pm

In general, it seems to me that the professor knows his subject very well and knows how to explain More it well.
CARLOS OSCAR RODRIGUEZ LEAL : 2025-01-20 at 8:07 am

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