Course content
Follow structured topics and learning material.
Professional AI education
Build the future with Artificial Intelligence.
Develop practical AI skills through structured courses in Agentic AI, Generative AI, Retrieval-Augmented Generation and Machine Learning. Learn through guided content, recorded lessons, presentation slides and question-and-answer support.
8-week courses
6-month membership
Online learning resources
Your learning space
● Learning resources
Featured course
Generative AI & LLM Applications
A structured path from core concepts to practical applications.
Course structure8 weeks
▤ Course content
▣ Slides
▶ Video lessons
✉ Q&A support
✦ Learn at your pace
◷ 6 months of access
4Specialised AI courses
8 weeksStructured course duration
6 monthsMembership access
One platformLearning resources together
Explore our courses
Our Contemporary Courses
Practical AI, Machine Learning and Data Science courses engineered to accelerate your career to top-tier industry standards.
A clear learning path
Eight weeks. A structured journey from concepts to application.
Each course follows a planned learning sequence. The detailed weekly syllabus is tailored to the subject, while the learning experience remains consistent across all four courses.
Ask about a course →01
Weeks 1–2 · Foundations
Build a clear understanding of the subject, core concepts and terminology.
02
Weeks 3–4 · Core technologies
Explore important methods, architectures, tools and implementation principles.
03
Weeks 5–6 · Practical implementation
Work through practical examples, exercises and application development.
04
Weeks 7–8 · Projects and application
Bring the learning together through applied exercises and relevant use cases.
Included learning access
Learn for 8 weeks. Keep learning with 6 months of membership.
Your course is supported by a digital learning space where you can access the resources that help you study, revisit concepts and reinforce your understanding.
▤
Structured course content
Follow organised learning material for your selected course.
▶
Revisit recorded lessons
Review video lessons during your membership period.
✉
Questions and answers
Use the course's Q&A facility to clarify learning questions.
Your learning membership
One learning space for the resources included with your selected course.
✓Course content
✓Presentation slides
✓Recorded videos
✓Question-and-answer facility
✓Online learning platform
✓Six-month access period
Course duration
8 weeks
8 weeks
Membership access
6 months
6 months
Your learning platform
Everything you need to support your learning.
Course content, recorded lessons, presentation slides and Q&A come together in one online learning experience.
▶
Recorded videos
Watch lessons and revisit explanations.
Presentation slides
Review visual explanations and key concepts.
Ask a question
Learning response and guidance…
Questions & answers
Clarify doubts through the course Q&A facility.
Free Learning
Free Classes & Video Resources
Explore our curated collection of free educational video lessons, architecture walk-throughs, and tutorials.
9:22
Bias–Variance Trade-Off in Machine Learning
Understand bias, variance, and model trade-offs to improve machine learning performance in real-world projects.
👁️ 125K views • ⭐ 4.8
9:38
I Built RAG Wrong for Months — Correct Architecture
Discover RAG architectures, use cases, evaluation metrics, and tools for building enterprise AI systems.
👁️ 98K views • ⭐ 4.9
8:25
The Vector Conversion Every AI Learner Must Understand
Learn how raw data and images are converted into vectors for machine learning and computer vision.
👁️ 156K views • ⭐ 4.9
6:10
The Transform Trick Every Data Pro Should Know
Discover how transformations turn messy tabular data into powerful vectors that unlock deeper patterns and smarter AI models.
👁️ 87K views • ⭐ 4.7
9:29
Retail Data Feature Engineering in Python
Turn raw retail transaction data into ML-ready features with practical feature engineering techniques used in real-world machine learning.
👁️ 112K views • ⭐ 4.8
11:33
The Art of Data Compression (Without Losing Your Mind)
Master feature reduction techniques to handle high-dimensional data and build more accurate machine learning models.
👁️ 143K views • ⭐ 4.9
8:52
How Machines Understand Meaning (Semantic Embeddings)
Understand how machines capture meaning and relationships through intuitive word embeddings and vector representations.
👁️ 143K views • ⭐ 4.9
10:45
Deep Learning & Neural Network Foundations
Explore feedforward architectures, backpropagation gradients, activation functions, and PyTorch tensors.
👁️ 105K views • ⭐ 4.9
Leadership & Team
Multidisciplinary Leadership. World-Class Expertise.
Isanghan Minds is backed by a multidisciplinary leadership team with 45+ years of combined professional experience across Artificial Intelligence, Machine Learning, advanced research, software engineering, and technology product development.
Joel
Director of Finance
Leadership Pillars · 45+ Years Combined Experience
Suresh
AI Research & Data Science15+ years of experience in AI research and data science, specialising in NLP, LLMs, Deep Learning, Agentic AI, and advanced analytics, with over 30 research publications.
Rajesh
Operations Head · IT & Technology20+ years of IT and technology leadership experience across startups, product development, software engineering, DevOps, and digital transformation.
Praveen
AI & Machine Learning10+ years of experience in AI/ML, specialising in Computer Vision, Video Analytics, NLP, Intelligent Document Processing, and Robotics.
Together, the leadership team combines strong academic research credentials, hands-on AI expertise, and extensive technology and product leadership experience to build innovative, scalable, and industry-oriented AI solutions and learning platforms.
Core Execution Team
Engineering & Growth
The innovators, engineers, and strategists bringing AI education and scalable technology to life.
Tarun
Team Lead
John
AI Architect
Poojitha
Full Stack Engineer
Jeevan
Marketing Lead
Frequently asked questions
Good questions. Clear answers.
Understand the course format and membership before you enrol.
How long is each course?
Each of the four courses is designed as an eight-week structured learning course.
What does the six-month membership include?
Membership provides access to the learning resources associated with your selected course, including course content, presentation slides, recorded videos and the question-and-answer facility.
When does the six-month membership start?
Please confirm the membership start date with the Isanghan Minds team before enrolment. The published enrolment terms should state whether access starts on enrolment or on the course start date.
Are the courses live or self-paced?
The delivery format and any scheduled live sessions can vary by course. Contact our team for the current delivery schedule.
Do I need prior programming knowledge?
Prerequisites depend on the course. Basic programming knowledge can be helpful, particularly for technical implementation modules. Ask our team which course best matches your current experience.
Can I enrol in more than one course?
Yes, you can enquire about enrolling in multiple courses. Our team can explain the available enrolment and membership arrangements.
Will I receive a certificate?
Ask the Isanghan Minds team about the completion requirements and certificate arrangements for the specific course you are considering.
Ready to build your AI skills?
Tell us what you want to learn. We can help you choose the right course.