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 – 6 Months
- Fast Track: 3 hours/day – 3 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
Master Diploma in 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
Professional Diploma in Machine Learning & Artificial Intelligence (PWML & AI)
Master Python and Machine Learning to build intelligent data-driven solutions.
This program provides a strong foundation in programming, data analysis, and machine learning techniques. Starting with Python fundamentals and progressing to advanced machine learning algorithms, learners will gain the practical skills required to analyze data, train predictive models, and develop intelligent systems using real-world datasets. The course is ideal for students and professionals aiming to build careers in Artificial Intelligence, Data Science, and Machine Learning.
Course Highlights
- Strong programming foundation using C, C++ and Python
- Data analysis techniques using NumPy, Pandas and SciPy
- Data visualization with Matplotlib and Seaborn
- Learn Supervised Learning Algorithms including Linear Regression, Logistic Regression, Decision Trees, K-Nearest Neighbors, Support Vector Machines and Naïve Bayes
- Explore Unsupervised Learning Algorithms such as K-Means Clustering, Hierarchical Clustering and DBSCAN
- Understand Model Evaluation Techniques like Accuracy, Precision, Recall, F1-Score and Confusion Matrix
- Learn Hyperparameter Tuning and Model Optimization methods
- Build an AI project integrating Machine Learning models with OpenAI API to create intelligent task-based systems
- Flexible learning options:
- Normal Track: 1.5 hours/day – 8 Months
- Fast Track: 3 hours/day – 4 Months
Why Choose This Course
- Learn Python and Machine Learning from beginner to advanced level
- Gain practical knowledge of data analysis and predictive modeling
- Work with industry-standard libraries and machine learning tools
- Develop real-world machine learning projects
- Ideal for aspiring AI Engineers, Data Scientists, ML Engineers and Developers
Generative AI (GenAI)
Gain practical knowledge in Artificial Intelligence and Generative AI technologies used to create intelligent systems, content generation tools, and advanced machine learning models.
This course provides a strong foundation in Generative AI, Machine Learning, and Deep Learning concepts, helping learners understand how modern AI systems generate text, images, and data-driven insights. You will explore key generative models, language models, and natural language processing (NLP) used in AI-powered applications such as chatbots, automation tools, and smart assistants.
Course Highlights
- Introduction to Generative Artificial Intelligence concepts
- Learn fundamentals of Machine Learning algorithms
- Understand Deep Learning and neural network basics
- Explore Key Generative Models used in modern AI systems
- Learn how Language Models power AI tools and chatbots
- Hands-on introduction to Natural Language Processing (NLP)
- Understand how AI is used in content generation and automation
- Flexible learning options:
- Normal Track: 1.5 hours/day – 3 Months
- Fast Track: 3 hours/day – 45 Days
Why Choose This Course
- Learn cutting-edge AI technologies shaping the future
- Build foundational knowledge for AI development and data science
- Practical exposure to real-world AI applications
- Ideal for students, developers, and IT professionals
Agentic AI
Learn how to design and build autonomous AI systems capable of reasoning, decision-making, and task execution using Agentic AI concepts.
This course introduces the fundamentals of Agentic AI systems, where intelligent agents can analyze information, plan actions, and interact with environments to complete complex tasks. Students will explore the building blocks of AI agents, multi-agent systems, and responsible AI frameworks, helping them understand how modern AI systems operate beyond traditional automation.
Course Highlights
- Introduction to Agentic AI concepts and intelligent agents
- Understand Agentic AI building blocks and system architecture
- Learn about Autonomous Agents and decision-making systems
- Explore Human-in-the-Loop AI systems for better control and supervision
- Understand Single-Agent and Multi-Agent AI systems
- Overview of Agentic AI frameworks and development approaches
- Learn principles of Ethical and Responsible AI development
- Flexible learning options:
- Normal Track: 1.5 hours/day – 3 Months
- Fast Track: 3 hours/day – 45 Days
Why Choose This Course
- Learn next-generation AI technologies beyond traditional machine learning
- Understand how autonomous AI systems operate in real-world applications
- Build foundational knowledge for AI development, automation, and intelligent systems
- Ideal for students, developers, and technology professionals
