Needs assessment
Programs start with understanding roles, skills and goals.
Professional Program
Practical technology training designed around your team's work. AIIT Roorkee delivers customised programs in AI, generative AI, data, cloud, cybersecurity, automation and software development for organisations.
Corporate training at AIIT Roorkee is customised technology training for organisations. After understanding team roles and goals, AIIT Roorkee designs sessions in areas such as generative AI adoption, data analytics, automation, cloud, cybersecurity awareness and software development, using examples relevant to the organisation.
Technology changes faster than most teams can keep up with, particularly in AI. Generic training often fails because it does not connect to the tasks people actually do.
AIIT Roorkee begins by understanding your team's roles, current skills and goals. Programs are then designed with relevant examples and hands-on exercises, with attention to data privacy and your organisation's policies, so participants can apply what they learn.
Programs start with understanding roles, skills and goals.
Examples and exercises built around your workflows.
Practical generative AI usage with responsible use guidelines.
Cybersecurity awareness for everyday work.
Identify and automate repetitive tasks.
Excel, Power BI and analytics skills for better reporting.
How it works
Discuss objectives, participants and constraints.
Agree on topics, format, schedule and exercises.
Conduct practical sessions at your premises, at the institute or online, as agreed.
Participants apply skills to relevant tasks.
Gather feedback and recommend next steps.
Technology areas
Tracks and projects are matched to your level and goals. Other areas can be discussed with the team.
Understand and apply generative AI: how LLMs and image models work, prompting, retrieval, APIs, evaluation, safety and building useful GenAI applications.
Learn to get reliable results from AI models: prompt structure, context, examples, reasoning, structured output, evaluation and reusable prompt libraries.
Automate repetitive work with Python scripts, APIs, no-code workflow tools and AI: from files and spreadsheets to intelligent document and email workflows.
Build reporting systems that guide decisions: data modelling, SQL, ETL, Power BI dashboards, KPIs, DAX and AI assisted analytics features.
Turn raw data into clear answers with Excel, SQL, Python and Power BI: cleaning, analysis, visualisation, dashboards and data storytelling.
Learn to protect systems and data: security fundamentals, networks, web application security, ethical hacking labs, SOC monitoring and incident response.
Understand cloud computing clearly: service models, compute, storage, networking, identity, security, cost awareness and hands-on work across major platforms.
Learn DevOps practices and tools: Linux, Git, CI/CD pipelines, Docker, Kubernetes, infrastructure as code, monitoring and a culture of reliable delivery.
Who it is for
Teams adopting AI, automation or cloud tools.
Staff who want to work faster with data and automation.
Developers and IT staff upskilling in AI, cloud or DevOps.
Administrative and technical staff in educational institutions.
Outcomes
Programs build skills and practical experience. They do not guarantee employment, placement or internships. See placement assistance for career preparation support.
Practical Engineering Environment
FAQs
Yes. Corporate programs are designed after understanding your team's roles, current skills and objectives.
Location and format are agreed with each organisation. Contact the team to discuss options.
Yes. Generative AI programs include guidance on data privacy, accuracy checking and following organisational policies.
Group size depends on the topic and format. Hands-on programs work best with manageable batch sizes, which the team can recommend.
Enquire
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