Advanced Diploma in Computer Programming (ADCP)
Build a strong foundation in software development and programming logic.
This course is designed for students and professionals who want to learn essential programming languages and develop the skills needed to build real-world applications. Through hands-on coding and project work, you’ll gain the technical expertise required for software development, automation and problem-solving
Course Highlights
- Comprehensive training in C, C++, Python or Java
- Focus on core programming concepts and object-oriented design
- Learn structured and high-level programming techniques
- Develop real-time applications through guided Project Work
- Build a foundation for careers in Software Development and IT Engineering
- Ideal for beginners and aspiring programmers
- Flexible learning options:
- Normal Track: 1.5 hours/day – 4 Months
- Fast Track: 3 hours/day – 2 Months
Why Choose This Course
- Aligned with the core Computer Science curriculum at school (After 10th/12th) and college levels
- Reflects foundational concepts taught in Engineering and IT programs
- Builds the essential programming skills valued in campus placements
- Helps you understand logic building, syntax and data handling
- Prepares you for entry-level roles in software and application development
- Strengthens your base for advanced studies in Data Science, AI or Web Development
- Ideal stepping stone for a career in the Tech and IT industry
Professional Diploma in Computer Programming (PDCP)
Become a proficient programmer with hands-on training in multiple coding languages.
This professional diploma program is designed to develop your expertise in both programming and database management. You’ll learn to write efficient code, design applications and manage data using the most in-demand technologies. Through practical sessions and project work, you’ll gain the technical confidence needed for real-world software development.
Course Highlights
- Comprehensive training in C, C++, Java, Python and MySQL
- Covers both structured and object-oriented programming approaches
- Build, debug and optimize applications using real-time examples
- Hands-on Project Work to apply learned concepts
- Strengthens logic building, problem-solving and coding efficiency
- Suitable for students, graduates and aspiring software developers
- Flexible learning options:
- Normal Track: 1.5 hours/day – 8 Months
- Fast Track: 3 hours/day – 4 Months
Why Choose This Course
- Learn multiple programming languages in one professional program
- Gain practical experience in database management with MySQL
- Prepare for careers in Software Development, App Development or Tech Support
- Build a solid base for advanced fields like AI, Data Science and Full Stack Development
- Real-world project-based learning for strong portfolio development
Amazon Web Services (AWS) – Solution Architect
Build expertise in cloud computing and infrastructure management with Amazon Web Services (AWS).
This course is designed to equip learners with in-depth knowledge of AWS architecture, deployment and cloud-based solutions. From computing and networking to storage and security, you’ll gain the skills required to design, implement and manage scalable cloud applications. Practical training and project work prepare you for real-world cloud solutions and AWS certification paths.
Course Highlights
- Comprehensive learning in AWS Cloud Computing, Storage and Security
- Hands-on experience with EC2, S3, EBS and Elastic Beanstalk
- Learn key networking and infrastructure tools: VPC, Route 53, CloudFront
- Understand IAM, KMS and WAF for identity and access management
- Exposure to HTML, CSS, JavaScript and MySQL for integrated projects
- Real-world Project Work on AWS deployment and data management
- Suitable for students, developers and IT professionals aiming for cloud careers
- Flexible learning options:
- Normal Track: 1.5 hours/day – 8 Months
- Fast Track: 3 hours/day – 4 Months
Why Choose This Course
- Designed to align with AWS Solution Architect Certification
- Gain hands-on experience in deploying and managing cloud applications
- Learn to build secure, scalable and cost-effective cloud infrastructures
- Develop a strong foundation in cloud automation and DevOps tools
- Ideal for anyone seeking a career in Cloud Engineering, System Architecture or DevOps
Cyber Security & Ethical Hacking
Protect the digital world by mastering the art of cyber defense and ethical hacking.
This course is designed to equip learners with the knowledge and tools needed to identify, prevent and respond to cyber threats. You’ll learn to secure networks, analyze vulnerabilities and perform ethical hacking using real-world methodologies and industry-standard tools. Perfect for students and professionals looking to build a career in cybersecurity, ethical hacking or digital forensics.
Course Highlights
- Comprehensive coverage of Basic Networking & CCNA.
- Learn advanced techniques in Ethical Hacking, Malware & Ransomware Analysis
- Hands-on exposure to Penetration Testing, Threat Hunting and Incident Management
- Understand Cryptography, Vulnerability Management and Defensive Security
- Practice on live simulations using industry tools like Wireshark, Kali Linux, Nmap, Metasploit, Nikto and Burp Suite
- Includes Prompt Engineering and real-world Cybersecurity Project Work
- Designed for students, IT professionals and aspiring ethical hackers
- Flexible learning options:
- Normal Track: 1.5 hours/day – 6 Months
- Fast Track: 3 hours/day – 3 Months
Why Choose This Course
- Gain practical cybersecurity experience with real-world tools and case studies
- Learn from industry-oriented modules mapped to global cybersecurity standards
- Build job-ready skills for roles such as Penetration Tester, Security Analyst or SOC Specialist
- Includes hands-on ethical hacking labs and defensive simulation exercises
- Stay ahead in the digital era with cutting-edge cybersecurity training
Python with Machine Learning (PWML)
Master the power of Python and Machine Learning to build intelligent data-driven applications.
This course provides a complete foundation in programming, data handling and machine learning algorithms. From Python fundamentals to advanced modeling techniques, you’ll gain the practical skills needed to analyze data, train models and make predictions using real-world datasets. Perfect for students and professionals looking to enter the fields of Data Science, AI or Machine Learning.
Course Highlights
- Comprehensive programming foundation in C, C++ and Python
- In-depth coverage of key Python libraries — Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn and SciPy
- Learn Data Preprocessing and Feature Engineering for real-world data analysis
- Understand Supervised Learning (Regression, Classification) and Unsupervised Learning (Clustering)
- Introduction to Reinforcement Learning and model optimization techniques
- Hands-on Project Work using practical machine learning applications
- Designed for students, data enthusiasts and working professionals
- Flexible learning options:
- Normal Track: 1.5 hours/day – 8 Months
- Fast Track: 3 hours/day – 4 Months
Why Choose This Course
- Learn Python from scratch with a focus on data and AI applications
- Develop and train machine learning models using real datasets
- Gain hands-on experience with the most widely used ML tools and frameworks
- Build a portfolio-ready project to showcase your machine learning skills
- Ideal for aspiring Data Scientists, AI Engineers and ML Developers
