Explainable AI Training in Noida

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25 hrs of E-Learning Videos
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Explainable AI Course Overview

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Upcoming Explainable AI Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
25-09-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Explainable AI Course Syllabus

Join our Explainable AI Course! Learn Explainable AI through model interpretability, SHAP, LIME, counterfactuals, fairness, causal AI, deep learning explanations, LLM interpretability, AI auditing, responsible AI, and trustworthy machine learning.

  • AI interpretability and explainability
  • Need for XAI
  • Black-box vs interpretable models
  • Global vs local explanations
  • Intrinsic vs post-hoc explainability
  • Challenges and limitations of XAI
  • Linear and logistic regression
  • Decision trees
  • Rule-based models
  • Generalized additive models
  • Model transparency
  • Feature importance
  • LIME
  • SHAP
  • Anchors
  • Permutation feature importance
  • Surrogate models
  • Local and global explanations
  • Shapley values
  • Partial Dependence Plots (PDP)
  • Individual Conditional Expectation (ICE)
  • Accumulated Local Effects (ALE)
  • Feature interactions
  • Attribution reliability
  • Neural network interpretability
  • Saliency maps
  • Integrated Gradients
  • DeepLIFT
  • Grad-CAM
  • Layer-wise Relevance Propagation
  • Image classification explanations
  • Object detection explanations
  • Visual attribution
  • Grad-CAM and CAM
  • Concept-based explanations
  • Debugging vision models
  • NLP model interpretation
  • Attention analysis
  • Transformer interpretability
  • Token-level attribution
  • LLM explanation techniques
  • Mechanistic interpretability fundamentals
  • Limitations of attention-based explanations
  • Counterfactual explanations
  • Contrastive explanations
  • Algorithmic recourse
  • Causal reasoning
  • Causal graphs
  • What-if analysis
  • DiCE and counterfactual generation
  • Data attribution
  • Influence functions
  • Prototype-based explanations
  • Example-based reasoning
  • Data SHAP
  • Training-data analysis
  • Sources of AI bias
  • Fairness metrics
  • Bias detection and mitigation
  • Individual and group fairness
  • Counterfactual fairness
  • Transparency and accountability
  • Responsible AI principles
  • Explanation fidelity
  • Robustness and stability
  • Explanation consistency
  • Human-centered evaluation
  • Trust and usability
  • Explanation quality metrics
  • Limitations and failure modes
  • Adversarial examples
  • Robustness evaluation
  • Model behavior auditing
  • Explainability for model debugging
  • AI risk assessment
  • Security-aware XAI
  • SHAP
  • LIME
  • Captum
  • Alibi
  • InterpretML
  • What-If Tool
  • Responsible AI dashboards
  • Python-based XAI workflows
  • Explainable healthcare AI
  • Explainable financial AI
  • Fraud detection
  • Recommendation systems
  • Credit-risk modeling
  • Autonomous systems
  • AI decision support
  • Mechanistic interpretability
  • Concept-based interpretability
  • Neurosymbolic explainability
  • Causal AI
  • Multimodal model explainability
  • Generative AI interpretability
  • AI safety and evaluation
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On Explainable AI Projects

Enroll in our Explainable AI Course, Build practical Explainable AI solutions using SHAP, LIME, counterfactual explanations, deep learning interpretability, fairness analysis, and interactive dashboards to understand and explain real-world AI decisions.

Explainable Credit Risk Prediction System

Develop a machine learning model to predict loan or credit risk and use SHAP and LIME to explain individual predictions, identify influential features, and analyze model fairness.

Explainable Medical Image Classification System

Build a deep learning model for medical image classification and apply Grad-CAM and other visualization techniques to highlight important image regions influencing the model’s predictions.

Explainable AI Model Audit & Fairness Dashboard

Create an interactive XAI dashboard that analyzes model predictions, feature importance, bias, fairness metrics, and counterfactual explanations to help users understand, evaluate, and audit AI decisions.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Mr. Raju
Experience
15+ Years
Specialized in
Explainable AI, Machine Learning, Deep Learning, Model Interpretability, SHAP, LIME, Explainable Neural Networks, Fairness, Bias Detection, Responsible AI, and AI Model Auditing.
More Details
Mr. Raju is an Explainable AI professional with 15+ years of experience, specializing in model interpretability, SHAP, LIME, deep learning, fairness, bias detection, responsible AI, and auditing.

Explainable AI Course Objectives

Our Explainable AI Course aims to help learners understand, interpret, evaluate, and communicate AI model decisions using modern XAI techniques for transparent, fair, reliable, and responsible AI systems.

You will learn model interpretability, SHAP, LIME, feature attribution, counterfactual explanations, deep learning explainability, fairness, bias detection, and responsible AI.

Model interpretability refers to understanding how input features and model behavior contribute to predictions or decisions made by an AI system.

Yes. The course covers techniques such as Grad-CAM, Integrated Gradients, saliency maps, and other methods for interpreting neural network predictions.

Yes. You will learn to identify potential bias, evaluate fairness metrics, analyze model behavior across groups, and understand responsible AI practices.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Explainable AI Career Opportunity

Explainable AI offers careers as XAI Engineer, Machine Learning Engineer, AI Auditor, Responsible AI Specialist, Data Scientist, and Model Risk Analyst, with salaries varying by experience, skills, location, and employer.

Annual Pay Scale
Placement Designation
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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Vaishnavi M
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I enrolled in the Workday HCM Payroll course at Infibee Technologies and I am fully satisfied with the training. The classes were easy to understand and the placement guidance together with mock interviews helped me build trust in my abilities. Job seekers should consider this program because it comes with high recommendations.
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Subhashiniwillams075
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I enrolled in the SAP ANALYTICS CLOUD course at Infibee Technologies and the classes were very well structured. The trainers possess industry experience and they delivered effective assistance with both resume creation and job placement services. This institution serves as the topmost educational center for SAP training courses.
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Deva Dharshini
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I recently completed the SAP CO-PA course at Infibee Technologies and had a great experience. The training quality was excellent, and the trainers were friendly, knowledgeable, and very supportive. They also provided valuable help with interview preparation and resume building, which boosted my confidence. With affordable fees and strong support, I highly recommend this institute for SAP training.
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Arivu Vaisi
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The Oracle Flexcube course at Infibee Technologies provided me with practical knowledge through its educational sessions. The trainer explained all concepts clearly and the placement support was very helpful. The program provides excellent Oracle training according to my assessment.
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Vishva raja
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The SAP IBP Course training is excellent. Trainers are knowledgeable and guide students with real-time scenarios. Placement support and resume preparation are very good. Highly recommended!
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Harish
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I learned SAP FSCD Course at Infibee Technologies and it was very helpful. Trainers provide real-time examples and excellent placement support. Highly recommended institute!
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Marudhu
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I completed the MS DYNAMICS 365 CRM course at Infibee Technologies and found the training to be very beneficial. The course was explained in an easy way and the placement guidance gave me more confidence. I highly recommend joining this program at the present time.
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Nandhini Akash
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I completed the Workday HR course at Infibee Technologies and the training was really helpful for my career growth. The trainers support students by providing simple explanations which include real-world examples of every topic. Highly recommended to join now.
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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.
Muthu krishnan
I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
Pranali
I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.
Yuvaraj
The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.
Lavanya
I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.
Madhaiyan Madhan

Explainable AI Course FAQ's

Infibee Explainable AI Course offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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