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DSTC-00750 Online (e-LMS) Advanced Postgrad

AI for Psychological and Behavioral Analysis

by - DSTC

Apply AI to understand human psychology and behaviour.

★★★★★ Be the first to review 4 Weeks · 40 hrs e-Certificate Included
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From ₹4,200 + GST

Programme Parameters

Educational Level:
Advanced Postgrad
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

AI for Psychological and Behavioral Analysis explores how machine learning is used to understand the human mind and behaviour. You learn to work with the data psychology generates — text, speech, facial and physiological signals, and interaction logs — and build models for tasks such as sentiment and emotion recognition, personality inference and behaviour prediction. The course keeps ethics central throughout, because inferring psychological state from data carries real risks of bias, privacy harm and misuse. You finish able to apply AI to a behavioural question responsibly. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

This course applies AI to psychological and behavioural analysis — modelling emotion, personality and behaviour from text, speech and interaction data, with strong attention to ethics.

📋 Course Objectives

1. Work with text, speech and behavioural data.
2. Build emotion- and sentiment-recognition models.
3. Infer personality and predict behaviour.
4. Recognise bias and validity limits in psychological AI.
5. Apply strong ethics and privacy safeguards.

👥 Who Should Enroll?

• Psychologists and behavioural scientists
• Data scientists in HR, health or research
• UX and human-factors professionals
• Students of psychology and AI

🚀 Key Learning Outcomes

• The ability to apply AI to behavioural analysis.
• A responsible, ethics-aware modelling approach.
• A psychology-focused AI project.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Technical Specifications

ParameterRequirement
Covered Tool / PlatformArtificial Intelligence
Covered Tool / PlatformBehavioral Analysis
Covered Tool / PlatformNatural Language Processing
Covered Tool / PlatformSentiment Analysis
Covered Tool / PlatformEmotion Detection
Covered Tool / PlatformPersonality Assessment
Covered Tool / PlatformFacial Expression Recognition
Covered Tool / PlatformVoice and Text Analysis
Covered Tool / PlatformWearable Data Analysis
Covered Tool / PlatformMental Health AI
Covered Tool / PlatformBehavioral Prediction
Covered Tool / PlatformAI Ethics

Frequently Asked Questions

This course focuses on how artificial intelligence can be used to analyze emotions, personality traits, behavioral patterns, mental health signals, and human decision-making.

Psychologists, AI engineers, researchers, students, mental health professionals, behavioral science learners, and professionals from HR, marketing, healthcare, and analytics can join.

The course is moderate level. It introduces AI concepts and applications in a practical way, making it suitable for learners from both technical and psychology-related backgrounds.

Yes. The course covers NLP techniques for sentiment analysis, emotion detection, personality assessment, and text-based behavioral analysis.

Yes. The program includes AI applications in mental health monitoring, diagnostic support, depression and anxiety prediction, and therapeutic intervention support.

Yes. The course introduces personality models such as Big Five and Myers-Briggs and explains how AI can detect personality traits from text and social media data.

Yes. A dedicated module focuses on privacy concerns, responsible use of behavioral data, AI bias, and ethical issues in psychological analysis.

Yes. Participants receive full access to the e-LMS, including learning resources, assessments, and course materials.

Yes. Participants receive an e-Certificate and e-Marksheet after successfully completing the program requirements.

Yes. The course includes real-world dry lab projects and 1:1 project guidance to help learners apply AI concepts to behavioral and psychological analysis.

Yes. The course is useful for research-oriented learners interested in AI applications in psychology, behavioral science, mental health analytics, and human-computer interaction.

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