The SET methodology is our unique "hands-on practical learning" approach that emphasizes real-world application over theoretical lectures. Every course includes interactive labs, practical projects, and immediate implementation strategies. Instead of just learning concepts, you'll build actual solutions, work with real datasets, and gain experience using industry-standard tools and technologies. This ensures you can apply your skills immediately in your work or studies.

We offer flexible learning options to fit your schedule and preferences:

Online Self-Paced: Access courses anytime, anywhere with lifetime access to materials
Live Virtual Workshops: Real-time instruction with instructor interaction and Q&A
Face-to-Face Intensive: In-person workshops with hands-on lab experiences
Hybrid Format: Combination of online modules and face-to-face sessions
Corporate Training: Customized on-site or virtual training for organizations

All formats include the same high-quality content and hands-on exercises.

Our courses are designed for different skill levels:

Beginner-Friendly: Most courses start with fundamentals and build up progressively
Clear Prerequisites: Each course page lists specific requirements (if any)
Flexible Entry Points: Multiple courses available for different experience levels
Assessment Tools: Pre-course assessments help you choose the right starting point

For example, our "Data Science Foundations" is perfect for beginners, while "Advanced Machine Learning" assumes prior programming experience. We always recommend starting with foundational courses if you're new to the field.

Minimum Requirements:

Computer/laptop with at least 8GB RAM (16GB recommended for data science courses)
Stable internet connection (minimum 10 Mbps for live sessions)
Updated web browser (Chrome, Firefox, Safari, or Edge)
Basic software: We provide installation guides for required tools

Provided by SET:

Cloud-based lab environments for most technical exercises
Downloadable software guides and installation support
Technical support during course duration
Alternative low-bandwidth options for participants with limited internet

Most courses work on Windows, Mac, or Linux systems.

Digital Certificates: All completed courses include a professional digital certificate with:

Course name and completion date
Skill competencies covered
Digital verification system
LinkedIn-shareable format

Micro-Credentials: Our specialized tracks provide stackable micro-credentials that demonstrate expertise in specific technology domains.
Industry Recognition: Our certificates are designed to align with industry standards and can contribute to:

Professional development requirements
Career advancement portfolios
Continuing education credits
Preparation for industry certifications (CompTIA, AWS, etc.)

Portfolio Projects: You'll also complete real-world projects that serve as portfolio pieces for job applications.