Design AI-Driven Inventory Systems Using Python, TensorFlow, Flask, and REST APIs. Design AI-Driven Inventory Systems Using Python, TensorFlow, Flask, and REST APIs. Design AI-Driven Inventory Systems Using Python, TensorFlow, Flask, and REST APIs. Design AI-Driven Inventory Systems Using Python, TensorFlow, Flask, and REST APIs. Design AI-Driven Inventory Systems Using Python, TensorFlow, Flask, and REST APIs.
About Course
Course Description
Training Mode
The training may be conducted through classroom sessions, practical workshops, guided assignments, projects, and digital learning support as per course structure.
Course Benefits
Students will receive structured guidance, practical knowledge, project support, assessment readiness, and internship-focused learning outcomes.
Career Support
The course is designed to improve internship readiness, workplace confidence, documentation ability, project execution skills, and future employability.
Learning Outcomes
Project Execution Confidence
Students will be able to complete mini projects, assignments, or practical tasks independently with better confidence.
Syllabus
Lesson 1: Introduction to Internship Program
This lesson introduces students to the internship program structure, learning process, evaluation method, and expected outcomes.
Duration: 2 Hours | Marks: 20
Video lesson available after enrollment.
Lesson 2: Industry Basics and Career Orientation
Students will understand industry expectations, workplace behavior, communication basics, and career orientation in this lesson.
Duration: 3 Hours | Marks: 25
Video lesson available after enrollment.
Lesson 3: Domain Fundamentals
This lesson covers the basic theoretical understanding of the subject domain required before starting practical training.
Duration: 4 Hours | Marks: 30
Video lesson available after enrollment.
Lesson 4: Tools and Software Practical Training
Students will learn practical use of required tools, software, and systems relevant to the selected internship course.
Duration: 5 Hours | Marks: 40
Video lesson available after enrollment.
Lesson 5: Case Study and Real Work Flow
This lesson explains real-life workflow, practical case studies, and task execution steps followed in the industry.
Duration: 4 Hours | Marks: 30
Video lesson available after enrollment.
Lesson 6: Mini Project / Assignment
Students will complete a mini project or assignment to demonstrate their understanding and practical application of the concepts.
Duration: 6 Hours | Marks: 50
Video lesson available after enrollment.
Lesson 7: Assessment and Viva Preparation
This lesson prepares students for final assessment, viva, project presentation, and evaluation process.
Duration: 3 Hours | Marks: 25
Video lesson available after enrollment.
Lesson 8: Internship Completion Guidelines
Final lesson covering completion process, submission guidelines, certification requirements, and future career roadmap.
Duration: 2 Hours | Marks: 20
Video lesson available after enrollment.
Certification
Practical Training Acknowledgement
A practical training acknowledgement may be issued to students who attend required sessions and complete the operational training successfully.
Performance Based Recognition
Students with excellent attendance, project quality, viva performance, or discipline may receive additional recognition based on evaluation.
Digital Verification Support
Issued certificates can include certificate number, issue date, and verification support as per organization process.