AI-Powered, Hands-On, Future Skills, Delivered Now

At SKAISENSE, we harness AI to deliver engaging, online, hands-on learning—no commute, no compromise. We bring the latest advancements into the classroom, including agentic AI, vector embeddings and vector databases, advanced RAG systems, and LLM-driven workflows, empowering learners to build real-world, future-ready skills.

🧠 Machine Learning

Advanced algorithms for predictive analytics and intelligent automation

🧩 Deep Learning

Neural networks for complex pattern recognition and decision making

💬 Generative AI (LLM)

GPT-powered intelligence for advanced text, chat, and content generation

👁️ Computer Vision

AI-driven analysis for images, objects, and real-time visual understanding

ML
DL
LLM
AI
NLP
CV

Join SKAISENSE - Learn and Build AI

Live, online, hands-on, project-based AI programs — from foundations to advanced applications for students and professionals.


module-1

Module-1

AI Foundations for Young Innovators

  • Number of Sessions: 12
  • for Grade 7 & above
  • Jumpstart your AI journey by exploring Artificial Intelligence and how machines think. Students learn coding logic, algorithms, and datasets, and see how machines make decisions. Through interactive exercises and mini projects, they build their first AI-powered applications while strengthening computational and problem-solving skills.
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Module-2

AI & ML Essentials

  • Number of Sessions: 18
  • for Grade 8 & above
  • Take the next step into Machine Learning. Students learn how machines learn from data, handle and visualize information, and understand supervised vs. unsupervised learning. Through hands-on projects, they train simple models and see their AI creations in action, building analytical thinking and practical problem-solving skills.
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Module-3

Intermediate AI & Data Science

  • Number of Sessions: 24
  • for Engineering Years 1–2 & Early Professionals
  • This module deepens AI and Data Science knowledge. Students learn to collect, clean, and analyze data, select features, build predictive models, and evaluate performance. Working with real datasets, they apply ML algorithms, explore cloud-based AI tools, and understand how data drives decisions, enabling them to create practical, data-driven AI solutions.
module-4

Module-4

Advanced AI & ML Professional

  • Number of Sessions: 30
  • for Engineering Years 3–4 & Experienced Professionals
  • In this capstone module, learners master advanced AI concepts including Deep Learning, Large Language Models (LLMs), NLP, and Computer Vision. They work with complex datasets, build end-to-end ML pipelines, optimize models, and complete a comprehensive project, gaining the skills to design, build, and deploy professional-grade AI applications.

Minimum Requirements for AI Skilling Programs

To ensure a smooth and engaging learning experience, students are expected to have the following basic setup and resources before starting their AI Skilling journey with SKAISENSE

  1. Laptop or Desktop Computer:
    • Minimum 16 GB RAM (32 GB recommended)
    • A good-quality mouse, since we’ll be working with images
    • Windows OR macOS operating system
    • Webcam and microphone for online sessions

  2. Stable Internet Connection:
    • Minimum 10 Mbps speed for live online classes
    • Ensure a quiet and well-lit environment for participation

  3. Identity Proof:
    • An identity proof is required for registration. This could be any one of these Government issued ID: Masked Aadhar, Driving Licence, and Passport.
    • For students below 18 years, we also need parent’s or guardian’s identity proof in addition to the Student's identity proof.

  4. Email ID:
    • A valid email ID is required for registration, class access, and communication
    • For students below 18 years, a parent’s or guardian’s email ID must be used

  5. Language of Instruction:
    • SKAISENSE uses Hindi and English as its language medium of communication and instruction. The enrolled students must be able to communicate in Hindi and English.
    • For students below 18 years, the parent or guardian must be able to communicate in Hindi and English

  6. Software & Software Installation:
    • Students must have valid installations of Microsoft Word, PowerPoint, Excel, and Teams on their laptop or desktop, which will be used to attend our sessions
    • Students should be able to install and use tools such as Python, Jupyter Notebook, Github, and other related AI/ML packages
    • For students under 18 years, installations should be done with parental guidance or technical assistance

  7. Basic Digital Skills:
    • Ability to operate a computer, surf websites suggested by skaisense, access Microsoft Teams or similar platforms, launch Microsoft Word, PowerPoint, Excel and manage files.
    • No prior programming experience is required for beginner modules (M1–M2)

  8. Pen, Notebook, Mobile Phone:
    • Students must keep a notebook and a pen to take down any instruction from the instructor quickly, complete the task and show the result via webcam.
    • Some sessions may need access to mobile devices with internet connection. In case of students below 18 years, the parent or guardian should facilitate access to such mobile devices including installation of apps suggested by SKAISENSE.

Admission Process

At SKAISENSE, we make the admission process simple and transparent so students can focus on what matters most — learning and building AI skills

  1. Choose Your Module

    Browse through our AI Skilling modules (M1–M4) and select the one that best matches your grade, background, or learning goal.

    • M1–M2: For school students (Grades 7–9)
    • M3–M4: For engineering students and professionals


  2. Online Registration

    Complete the online Registration form available on our website by clicking Enroll button. You’ll need to provide basic details, preferred batch timing. For students under 18 years, this form should be filled up by parent/guardian.


  3. Counselling & Batch Confirmation

    Our academic team will review your details and, if needed, conduct a short counselling call to guide you to the most suitable module. Once finalized, you’ll receive an email confirmation with batch schedule and payment instructions.


  4. Fee Payment & Enrollment

    Secure your spot by completing the course fee payment. After payment and completing the rest of the enrollment formalities you’ll get access to the SKAISENSE Learning Portal and all pre-class resources.


  5. Class Access & Orientation

    Before classes begin, students will receive an orientation email with login credentials, platform details, and basic setup instructions for smooth participation.


  6. Certification

    Upon successful completion of the module, students receive a digital certificate from SKAISENSE, validating their AI skills and project work.


Parental Control & Responsibility Disclaimer

Participation of minors in online programs requires active supervision by a parent or guardian, who assumes full responsibility for the student’s conduct, safety, and engagement during all learning interactions.

Parental Guidance for Students Below 18 Years:

  1. SKAISENSE conducts all its AI learning and skilling sessions exclusively online. These sessions may require internet access for viewing content, completing assignments, or using third-party educational tools.


  2. Parents or guardians of students below 18 years are advised to enable appropriate parental controls and supervise the child’s online activity during and beyond the class sessions.


  3. While SKAISENSE ensures a safe and structured online learning environment, it is not responsible for any restricted, inappropriate, or unrelated web browsing or activity carried out by students during or after the sessions.


  4. Enrollment of a student below 18 years constitutes acceptance of these terms by the parent or guardian.


General Guidelines & Student Policy Disclaimer

Ensuring a Structured, Respectful, and Productive Learning Experience for Every Student

  1. Attendance & Punctuality
    • Students are expected to attend all scheduled live online sessions on time. Join the session 5 minutes in advance.
    • Absence from a session without prior intimation via email will be considered unexcused. It will not qualify for a compensatory session.
    • If a student anticipates being absent, at least 7 days’ prior notice must be given via email to allow for a compensatory session (subject to instructor availability)
    • Repeated absences may affect program continuity and certification eligibility.

  2. Conduct & Participation
    • Active participation is encouraged — students should keep their camera and microphone functional (unless instructed otherwise).
    • Respectful communication is expected towards the instructors and peers at all times.
    • Any form of disruption, misuse of chat, or inappropriate behavior may result in suspension from the session.

  3. Learning Resources & Assignments
    • Access credentials, project materials, and assignments shared by SKAISENSE are for personal academic use only.
    • Students must not share or redistribute proprietary content, recordings, or code outside the learning environment.
    • Assignments and project submissions must be original and completed by the enrolled student.

  4. Technical Requirements
    • Students must ensure a stable internet connection (minimum 10 Mbps) and a functional computer (16 GB RAM recommended) with a webcam and microphone.
    • SKAISENSE is not responsible for missed sessions or incomplete assignments due to device or connectivity issues at the student’s end.

  5. Rescheduling & Session Makeup
    • Compensatory sessions are offered only in case of valid, pre-notified absences.
    • SKAISENSE reserves the right to reschedule sessions with reasonable notice in case of instructor unavailability or unavoidable circumstances.

  6. Fees & Refund Policy
    • All program fees are non-refundable and non-transferable once paid.
    • In exceptional cases (e.g., program cancellation by SKAISENSE), a full refund will be processed.
    • Fee payment confirms acknowledgment and acceptance of these policies.

  7. Parental Supervision (for Minor Students)
    • For students below 18 years, parental supervision during online sessions is encouraged.
    • Parents/guardians are responsible for ensuring their child’s timely attendance, device readiness, and appropriate conduct.

  8. Privacy, Data & Intellectual Property Protection
    • SKAISENSE is committed to safeguarding the privacy of students and the confidentiality of their data. Any personal information shared during registration or participation will be used solely for educational and communication purposes.
    • All course materials, AI models, code samples, and project templates provided during the program remain the intellectual property of SKAISENSE and are intended for personal learning use only.
    • Students must not reproduce, share, or distribute any proprietary content without written consent.
    • SKAISENSE may record live sessions for quality assurance, internal training, and academic reference purposes. Recordings will be made accessible only to the currently enrolled students and remain available until the completion of their respective batch.

  9. Certification & Completion
    • Certificates are awarded upon successful completion of sessions, assignments, and projects.
    • Missed sessions or incomplete submissions may result in delayed or withheld certification.

  10. Policy Updates
    • SKAISENSE reserves the right to update policies periodically.
    • Any significant changes will be communicated via registered email in advance.

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