Career Readiness Program
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Get hands-on experience with industry tools & technologies
Progress from junior to a senior professional roles
Gain expertise in cloud, ML, and real-time processing
Build a portfolio of projects to showcase technical abilities
Considering the unmet needs and skill shortages in the market, we understand the insights into workforce demands, to ensure that our learning hub programs are in alignment with the trajectory of the job market
Our Learning Hub aims to provide high quality, learning opportunities for students and professionals who intend to advance their skills in Data science, visual analytics or cloud technologies.
Industry best practices
Career guidance program
In-person, Online and Hybrid
Students mentored by senior, practicing Data Engineers or Architects.
We emphasize hands-on learning through practical case studies to build a job-ready portfolio.
We offer competitive learning tracks with clear progression and support at every stage
We offer affordable, flexible learning options including online, part-time, and hybrid programs.
Develop and deliver practical, hands-on training that aligns with current industry demands in technical fields. Ensure graduates possess job-ready skills, making them highly employable and competitive in the workforce.
Offer affordable, modular, and flexible learning options, including online, part-time, and hybrid programs. Make technical education available to diverse learners, including working professionals and underserved communities.
Ensure that the trainees are employable or ready to advance in their careers with sufficient practical and hands-on training to meet the varieties of demands in the job market.
Students must maintain a minimum 80% attendance for live sessions (if applicable) to qualify for certification. Active participation in discussions, hands-on labs, and assignments is encouraged to enhance learning outcomes.
Students must complete all assignments, quizzes, and the capstone project to be eligible for certification. A minimum passing grade (e.g., 70% overall score) is required to earn the course completion certificate. Certificates will be issued digitally upon successful completion.
Students must adhere to professional and respectful communication in all discussions and collaborations. Plagiarism, cheating, or sharing course materials without permission will result in disciplinary action (e.g., warnings, course removal). Ethical data usage and compliance with data privacy laws (GDPR, CCPA, HIPAA) must be followed when working on projects.
Refunds are only applicable within the first 7 days after enrollment (if self-paced) or before the second live class (if instructor-led). Enrollment transfers to another cohort are allowed within the first two weeks of the course. Discounts and promotional offers are non-refundable and non-transferable.
All student data, project submissions, and personal information will be stored securely and not shared with third parties. Students must use secure cloud environments (e.g., AWS, Google Cloud) for hands-on exercises and not store sensitive data on public systems.
The course provider reserves the right to audit and monitor project submissions for security and compliance purposes.