Our Courses
Short Courses
This 880-hour industry-focused diploma program prepares students to harness the power of cloud computing, data analytics, and edge AI to build scalable, secure, and intelligent data systems. Learners will gain practical skills in managing cloud infrastructure, building data pipelines, analyzing data using advanced visualization tools, and deploying AI-driven analytics in real-time environments.
Design secure and scalable cloud databases and data pipelines
Build ETL/ELT workflows with tools like dbt, Airflow, Azure Data Factory
Apply DataOps and CI/CD principles to automate and monitor data solutions
Use Power BI to build interactive dashboards for business insights
Prepare and deploy AI/ML models using cloud tools (AutoML, Vertex AI, SageMaker)
Implement edge computing solutions for real-time data analytics
Apply ethical and governance standards in cloud-based data environments
Present capstone projects integrating security, cloud analytics, and predictive AI
This program is ideal for aspiring cloud data analysts, AI developers, data engineers, and IT professionals seeking to advance their skills in cloud-based analytics and secure AI implementation.
880 total hours including capstone project and certification prep
Emphasis on modern tools like Power BI, CI/CD, and secure AI analytics
Applied learning through labs and real-time data scenarios
Balanced theory and hands-on practice across cloud, data, and security topics
The Diploma in Cloud and Cybersecurity Technologies (373 hours) equips students with practical skills to deploy, manage, and secure cloud-based IT systems. The program combines hands-on cloud training with industry-aligned cybersecurity practices (NIST, OWASP, ISO 27001), covering AWS, Azure, GCP, network security, incident response, identity management, and automation, while preparing learners for globally recognized certifications such as CompTIA and AWS Cloud.
New entrants to the IT field seeking cloud and cybersecurity skills
Technical support staff aiming to upskill in cloud computing
Career changers from non-technical backgrounds with an interest in IT security
Graduates of general IT programs looking to specialize in cloud and cybersecurity
This 740-hour advanced diploma provides comprehensive training in artificial intelligence, deep learning, and natural language processing (NLP), equipping students with the skills required to develop intelligent systems and AI-powered applications. Students learn data analysis, machine learning, NLP model development, data engineering, and MLOps while working with modern tools like PySpark, Databricks, and GitHub.
Design, develop, and deploy ML and DL models
Implement NLP and Generative AI solutions
Use modern data engineering tools and workflows
Track, version, and monitor AI experiments
Collaborate effectively using Git and agile practices
Perform data engineering with PySpark and Databricks
Deploy models and track with MLOps
Demonstrate their skills in a real-world capstone project
Designed for aspiring AI engineers, data scientists, and software developers looking to specialize in NLP, deep learning, and AI systems.
Basic programming knowledge is recommended but not required.
Practical experience building AI applications and NLP models
Industry exposure through tools like Git, GitHub, and MLOps
Capstone project demonstrating AI and NLP integration
Balanced focus on development, deployment, and career readiness
The Post-Graduate Diploma in Enterprise Cybersecurity and Governance Automation (1570 hours) equips learners with advanced knowledge and hands-on skills in securing enterprise systems, automating security governance, and integrating emerging technologies like AI and
cloud-native tools into cybersecurity infrastructure. With a strong emphasis on compliance, risk management, automation, and secure deployment, this program prepares students to lead, manage, and secure modern enterprise IT environments in alignment with industry frameworks and regulations.
Design and implement secure enterprise networks and cloud-based systems.
Manage security governance frameworks (e.g., NIST, ISO/IEC 27001).
Automate security policies and compliance using tools such as Terraform, Ansible, and Git.
Conduct vulnerability assessments and penetration testing.
Integrate DevSecOps practices into CI/CD pipelines.
Use AI-powered threat detection and SIEM tools.
Aligned with certifications such as CISA, CEH, CompTIA Security+, and CISSP.
IT professionals seeking to transition into cybersecurity leadership roles.
Network or system administrators aiming to specialize in governance and automation.
Cybersecurity analysts and risk managers looking to advance their skills in automation and compliance.
Graduates of computer science or IT programs seeking practical, enterprise-level cybersecurity training.
