AI & Automation Training for
Future-Ready Careers
A 12-week offline, hands-on program designed for final-year students, fresh graduates, and working professionals who want to build practical skills in AI, automation, chatbots, agents, and real-world business solutions.
12-week structured training program: Offline learning with guided mentoring
Our AI & Automation Training Program is built for learners who want more than theory. It is designed to help students and professionals understand how modern AI tools, automation systems, and business workflows are actually used in real environments.
program is designed for:
Program highlights
- Final-year students who want job-ready skills before graduation.
- Fresh graduates looking to enter AI, automation, or tech-enabled roles.
- Working professionals planning to switch into AI and automation careers.
- Duration: 12 weeks.
- Mode: Offline.
- Daily learning format: 2–4 hours with hands-on work and projects.
- Batch size: 15–20 students for focused attention and mentoring.
- Session options: 10 AM to 1 PM and 3 PM to 6 PM.
- Daily flow: short concept explanation followed by practical build time.
What does the curriculum cover?
The curriculum is designed to take learners from fundamentals to applied AI and automation through a structured 12-week journey. It covers Python for AI, APIs and integrations, data handling with Pandas, AI concepts, prompt engineering, AI agents, chatbot development, voice bot basics, workflow automation, RPA tools, and dashboard creation.
How is the curriculum structured?
The program is divided into three phases: Foundations, Applied AI & Automation, and Industry Projects. This structure helps students first build technical basics, then move into practical implementation, and finally work on real-world project simulations.
What is taught in the foundation phase?
In the first phase, students learn Python basics for AI, APIs and integrations, data handling, introductory AI concepts, and prompt engineering basics. The goal of this phase is to build a strong base before moving into advanced application areas.
What is covered in the applied learning phase?
The second phase focuses on practical implementation and business use cases. Students learn AI agents, chatbot development, voice bot basics, RPA tools, workflow automation logic, and dashboard development.
Does the curriculum include real-world exposure?
Yes, the final phase is built around industry-oriented project work. Students are exposed to use cases that simulate real client delivery and help them understand how AI and automation solutions are applied in business settings.
What kind of projects will students work on?
Students work on practical, implementation-focused projects throughout the program. The document includes examples such as lead generation bots, WhatsApp automation bots, AI chatbots for business, and basic BI dashboards.
Are the projects based on real industry use cases?
Yes, the final project phase is intended to simulate real client delivery. Example use cases mentioned in the document include real estate chatbots, healthcare automation workflows, invoice processing automation, and CRM integration systems.
Will every student complete a final project?
Yes, each student is expected to complete one major project by the end of the program. This final output is meant to reflect practical learning, execution ability, and readiness for real opportunities.
Do projects focus only on coding?
No, the project phase also includes professional delivery aspects such as requirement gathering, deployment basics, client communication, and documentation. This helps learners understand both technical execution and project presentation.
How is the training delivered?
The training is conducted in an offline format over 12 weeks. It follows a fully hands-on approach, with no long lecture-based sessions, so students spend more time building and less time passively listening.
What does a typical learning day look like?
The daily structure includes a short concept session followed by extended build time. According to the document, the flow is approximately 30 minutes of concept learning followed by around 2 hours of practical implementation.
Is the program beginner-friendly?
The curriculum starts with foundational topics such as Python, APIs, data handling, and basic AI concepts, which makes it suitable for learners who are beginning their journey in AI and automation. At the same time, the applied and project phases make it relevant for graduates and professionals looking to upskill or switch careers.
Is the program focused on theory or practice?
The program is strongly practice-oriented. The document clearly positions it as fully hands-on, with a build-first model designed to help learners create tools, workflows, and project deliverables through active implementation.
What will students achieve by the end of the program?
The training is conducted in an offline format over 12 weeks. It follows a fully hands-on approach, with no long lecture-based sessions, so students spend more time building and less time passively listening.
Will students have something to show after completing the course?
The daily structure includes a short concept session followed by extended build time. According to the document, the flow is approximately 30 minutes of concept learning followed by around 2 hours of practical implementation.
How does the program help with career readiness?
The curriculum starts with foundational topics such as Python, APIs, data handling, and basic AI concepts, which makes it suitable for learners who are beginning their journey in AI and automation. At the same time, the applied and project phases make it relevant for graduates and professionals looking to upskill or switch careers.
What kind of practical outcomes can learners expect in the early stages?
The program is strongly practice-oriented. The document clearly positions it as fully hands-on, with a build-first model designed to help learners create tools, workflows, and project deliverables through active implementation.
Will students receive a certificate after completing the program?
Yes, the document includes a certification component for the training program. It mentions a basic certificate in AI & Automation as well as an advanced recognition format linked to stronger performance criteria.
What is the basic certificate based on?
The basic certificate is based on attendance and assignments. This format recognizes participation and consistent engagement throughout the program.
Is there an advanced certification option?
Yes, the document also refers to an “Industry Certified AI Automation Specialist” recognition. This is linked to the final project, viva, and code quality.
What can be mentioned in the certificate?
The certification can include details such as real-world project work, tools used, and project-specific information. This makes the certificate more meaningful and aligned with actual learner outcomes.