Workshops + Mentoring

Hands-on full-stack AI engineering sessions for teams and students.

These workshops are designed around implementation and architecture, not passive theory. The goal is to help learners produce diagrams, checklists, starter code, evaluation scenarios, and clear project direction.

Resource person proof

AICTE ATAL FDP at SMVITM, Udupi

Faculty Development Program on Modelling for Business Decisions at Shri Madhwa Vadiraja Institute of Technology and Management, Udupi. This section includes event proof, classroom delivery, felicitation, and certificate evidence as a resource person.

AICTE ATAL Faculty Development Program session at Shri Madhwa Vadiraja Institute of Technology and Management, Udupi.
AICTE ATAL Faculty Development Program session at Shri Madhwa Vadiraja Institute of Technology and Management, Udupi.
Felicitation moment during the AICTE ATAL FDP on Modelling for Business Decisions.
Felicitation moment during the AICTE ATAL FDP on Modelling for Business Decisions.
Official AICTE ATAL FDP welcome banner for the resource person session.
Official AICTE ATAL FDP welcome banner for the resource person session.
Resource person felicitation during the faculty development program.
Resource person felicitation during the faculty development program.
Classroom delivery session for faculty participants.
Classroom delivery session for faculty participants.
Lecture hall session with participant engagement at SMVITM, Udupi.
Lecture hall session with participant engagement at SMVITM, Udupi.
Live teaching and technical demonstration during the FDP.
Live teaching and technical demonstration during the FDP.

Certificate evidence

Recognized as Resource Person

The certificate adds formal proof that the session was delivered as part of an AICTE ATAL Academy Faculty Development Program.

AICTE ATAL Academy certificate recognizing Praveen Kumar as Resource Person for the FDP on Modelling for Business Decisions.
AICTE ATAL Academy certificate recognizing Praveen Kumar as Resource Person for the FDP on Modelling for Business Decisions.

Workshop proof

Full-Stack GenAI Application Development workshop at DSCE

A hands-on workshop at Dayananda Sagar College of Engineering in 2024 covering full-stack GenAI application development, mentoring, student project discussion, and judging. The photos below show classroom delivery, project interaction, and event proof.

Hands-on Full-Stack GenAI Application Development workshop session at Dayananda Sagar College of Engineering.
Hands-on Full-Stack GenAI Application Development workshop session at Dayananda Sagar College of Engineering.
Student project mentoring and judging during the DSCE Full-Stack GenAI workshop.
Student project mentoring and judging during the DSCE Full-Stack GenAI workshop.
Mentoring and judging student project work during the Full-Stack GenAI Application Development workshop.
Mentoring and judging student project work during the Full-Stack GenAI Application Development workshop.
Hands-on classroom session with students in the AI & ML lab.
Hands-on classroom session with students in the AI & ML lab.
Interactive GenAI application development session with students.
Interactive GenAI application development session with students.
Event poster from Dayananda Sagar College of Engineering.
Event poster from Dayananda Sagar College of Engineering.
Group photo with participants and faculty at DSCE.
Group photo with participants and faculty at DSCE.

Workshop proof

National-level AI & ML workshop at MIT Pune

A two-day national-level workshop on AI & ML conducted at MIT Arts, Commerce & Science College, Alandi, Pune. These photos add real-world teaching and workshop evidence to the portfolio.

Speaking session during the two-day national-level AI & ML workshop at MIT Arts, Commerce & Science College, Alandi, Pune.
Speaking session during the two-day national-level AI & ML workshop at MIT Arts, Commerce & Science College, Alandi, Pune.
Workshop inauguration and panel session at MIT Arts, Commerce & Science College, Alandi, Pune.
Workshop inauguration and panel session at MIT Arts, Commerce & Science College, Alandi, Pune.
Dais and formal workshop proceedings during the AI & ML national-level workshop.
Dais and formal workshop proceedings during the AI & ML national-level workshop.
Audience interaction and AI/ML workshop delivery session.
Audience interaction and AI/ML workshop delivery session.

Full-Stack AI Product Workshop

Audience: Students, early engineers, and teams who want to understand how AI products are built end to end

Format: 3-6 hour hands-on session or 2-day project track

Outcome: Participants design an AI product workflow across UI, backend, data, model behavior, evaluation, and deployment.

Agenda

  • AI product workflow mapping
  • Frontend trust states
  • Backend orchestration
  • RAG/data design
  • Evaluation checklist

Full-Stack GenAI Application Development

Audience: College students and engineering teams learning to build GenAI applications from frontend to backend

Format: Hands-on lab, mentoring session, project discussion, and judging support

Outcome: Participants connect GenAI concepts with working application architecture, data flow, implementation, and project readiness.

Agenda

  • GenAI application flow
  • Frontend/backend integration
  • Project mentoring
  • Student project review
  • Readiness feedback

AICTE ATAL FDP Resource Session

Audience: Faculty participants and academic professionals attending faculty development programs

Format: Resource person session with formal certificate proof, classroom delivery, and technical demonstration

Outcome: Participants connect modelling for business decisions with practical technical thinking and data-driven decision workflows.

Agenda

  • Business decision modelling
  • Data-driven thinking
  • Technical demonstration
  • Faculty interaction
  • Applied learning discussion

RAG Product Engineering Workshop

Audience: Engineers building internal copilots, search assistants, or knowledge systems

Format: Half-day architecture lab or full-day implementation lab

Outcome: Participants create a practical RAG blueprint covering ingestion, chunking, metadata, retrieval, citations, and quality checks.

Agenda

  • Document ingestion
  • Chunking strategy
  • Metadata design
  • Citation UX
  • Retrieval quality tests

Agent Workflow and Evaluation Workshop

Audience: Backend engineers, AI engineers, product teams, and advanced students

Format: Architecture review session or project-based workshop

Outcome: Participants design controlled agent workflows with tool contracts, approval checkpoints, traces, and evaluation scenarios.

Agenda

  • Agent workflow patterns
  • Tool contract design
  • Human review checkpoints
  • Trace design
  • Golden workflow evals

Proof assets used in sessions