Diploma in Artificial Intelligence (AI) with Industry Specializations

Launch Your Career in the Prompt Engineering

This 1-year intensive Diploma program equips graduates with core AI and Machine Learning skills, followed by specialized training in high-demand industry sectors. The curriculum combines foundational AI concepts with practical, domain-specific applications, preparing students for immediate industry roles.

The program emphasizes hands-on projects, real-world case studies, and industry-relevant tools, making it ideal for graduates seeking a career switch or enhancement in AI-driven roles.

Course Details & Eligibility

Duration: 1 Year (Full-time / Hybrid mode – Approximately 25-30 hours per week, including lectures, labs, projects, and internship).
Eligibility: Any Graduate (10+2+3 or equivalent) from a recognized university. Basic computer knowledge is sufficient; no prior AI or coding experience required

Key Highlights

– Core AI + 7 Industry Specializations* to choose from
– Internship Provided: 4-8 weeks of hands-on internship in chosen specialization (with industry partners or simulated projects)
– 100% Job Assistance: Dedicated placement cell with resume building, mock interviews, portfolio development, and recruiter connections
– Loan Facility Available: Easy education loan support through partner banks
– Certification: Diploma Certificate from S P More College upon successful completion
– Tools & Technologies: Python, TensorFlow/Keras, Scikit-learn, Power BI/Tableau, Hugging Face, industry-specific simulation tools
– Mode: Live classes + recorded sessions + practical labs + guest lectures from industry experts

Specializations Offered

Students can choose **one specialization** in the later part of the program:

1. AI in Airlines Industry
Predictive maintenance, dynamic pricing & revenue management, flight delay prediction, crew scheduling, passenger personalization, baggage handling automation.

2. AI in Tourism Industry
Personalized travel recommendations, chatbots for bookings, demand forecasting, virtual assistants, sentiment analysis from reviews, dynamic pricing for hotels & packages.

3. AI in Banking
Fraud detection, credit risk assessment, customer churn prediction, robo-advisory, chatbots for banking services, regulatory compliance automation.

4. AI in HRM (Human Resource Management)
Resume screening, talent acquisition & matching, employee sentiment analysis, predictive attrition, performance evaluation, intelligent workforce planning.

5. AI in Marketing
Customer segmentation, personalized campaigns, predictive analytics for lead scoring, sentiment analysis, recommendation engines, A/B testing automation, generative AI for content.
6. AI in Shipping
Route optimization, predictive maintenance of vessels, cargo load optimization, port operations automation, risk assessment for weather & delays.

7. AI in Supply Chain & Logistics
Demand forecasting, inventory optimization, route & warehouse optimization, real-time tracking, supplier risk analysis, autonomous logistics planning.

Course Structure (Month-wise / Semester-wise)

Months 1-3: Core Foundations of AI
– Introduction to AI, Machine Learning, and Generative AI
– Python Programming for AI + Data Handling (NumPy, Pandas, Visualization)
– Mathematics for AI (Statistics, Linear Algebra – intuitive approach)
– Supervised & Unsupervised Learning (Regression, Classification, Clustering)
– Model Building & Evaluation with Scikit-learn
– Mini Projects: Basic predictive models

Months 4-6: Advanced AI & Deep Learning
– Neural Networks & Deep Learning (TensorFlow/Keras)
– Natural Language Processing (NLP) & Computer Vision basics
– Prompt Engineering & Generative AI tools
– Data Preprocessing, Feature Engineering, Ethics & Responsible AI
– Mini Projects: Image/text-based applications

Months 7-9: Domain Specialization + Industry Applications
– Specialization-specific modules with case studies
– Industry tools, datasets, and simulations relevant to the chosen sector
– Advanced topics like predictive analytics, optimization algorithms, and automation
– 4-6 domain-focused projects (e.g., airline revenue model, supply chain optimizer)

Months 10-12: Capstone Project, Internship & Career Readiness
– Major Capstone Project in chosen specialization (End-to-end AI solution)
– Internship (practical exposure)
– Portfolio development, soft skills, interview preparation, LinkedIn optimization
– Guest sessions & industry interactions
– Final presentations and assessments

Learning Outcomes

Graduates will be able to:
– Build and deploy AI/ML models for real business problems
– Apply AI techniques specific to their chosen industry
– Develop a strong portfolio with domain projects and internship experience
– Pursue entry-to-mid level roles such as AI Specialist, Data Analyst (Domain), ML Engineer (Industry focus), Business Intelligence Analyst, or AI Consultant in their specialization

Why Choose This Diploma at S P More College?

– Industry-aligned curriculum with multiple high-growth specializations
– Strong focus on practical learning and employability
– Internship + 100% Job Assistance + Education Loan Facility
– Guided by experienced faculty & industry experts

**New Batch Starting Soon!** Limited seats available.