Diploma in Artificial Intelligence & Machine Learning Basics
Affiliation: ICD-NSDC
Duration: 6 – 12 Months
Mode: Classroom Training + Lab Sessions + Industry Projects
Programme Overview
The Diploma in Artificial Intelligence & Machine Learning Basics is a future-oriented programme designed to introduce learners to the core concepts of AI and ML, focusing on how intelligent systems learn, analyze data, and make decisions. This course builds a strong foundation in data handling, algorithms, and real-world AI applications, making it ideal for beginners and technology aspirants.
The programme emphasizes practical learning, hands-on labs, and project-based training to ensure students gain job-ready AI skills aligned with current industry demands.
Why Choose This Diploma?
- Strong foundation in Artificial Intelligence & Machine Learning concepts
- Beginner-friendly approach with step-by-step learning
- Hands-on training using Python and real datasets
- Industry-aligned curriculum under NSDC / Keltron standards
- Ideal pathway to advanced AI, ML, and Data Science programmes
Eligibility Criteria
- Passed 10th / 12th / Graduation or equivalent
- Basic computer knowledge required
- Interest in technology, data, and automation preferred
- No prior AI or coding experience required
Course Duration & Structure
- Total Duration: 6 – 12 months
- Theory Sessions: AI & ML concepts and fundamentals
- Practical Labs: Coding, data handling, and model building
- Projects: Real-world AI and ML mini-projects
- Assessments: Assignments, quizzes, and project evaluations
Syllabus / Topics Covered
Introduction to Artificial Intelligence
- What is AI? History and evolution
- Types of AI: Narrow AI, General AI
- Applications of AI in real life
- Ethics and limitations of AI
Fundamentals of Machine Learning
- What is Machine Learning?
- Supervised, Unsupervised, and Reinforcement Learning
- Machine learning workflow
- Model training and evaluation
Python for AI & ML
- Python basics for AI
- Libraries: NumPy, Pandas, Matplotlib
- Data handling and preprocessing
- Data visualization techniques
Data Analysis & Preparation
- Data collection and cleaning
- Feature selection and scaling
- Handling missing values
- Exploratory Data Analysis (EDA)
Machine Learning Algorithms
- Linear and Logistic Regression
- Decision Trees and Random Forests
- K-Nearest Neighbors (KNN)
- Naïve Bayes Algorithm
Introduction to Deep Learning
- Neural networks fundamentals
- Perceptron and activation functions
- Overview of TensorFlow / Keras
- AI model basics
AI Tools & Platforms
- Google Colab
- Jupyter Notebook
- AI APIs and cloud-based AI tools
- Model deployment basics
Mini Projects & Case Studies
- Predictive analytics projects
- AI-based recommendation systems
- Simple chatbot or automation project
- Industry-oriented case studies
Practical Training & Projects
Students work on hands-on labs and AI mini-projects that simulate real-world scenarios, helping them understand how AI models are designed, trained, tested, and deployed.
Career Opportunities After Completion
- AI / ML Assistant
- Junior Data Analyst
- Machine Learning Trainee
- AI Support Engineer
- Automation & AI Technician
- Research Assistant (AI & Data)
Higher Study & Skill Progression
- Advanced Diploma in AI & Machine Learning
- Data Science & Analytics Programmes
- Deep Learning & NLP Certifications
- B.Tech / B.Sc / MCA in AI, ML, or Data Science
Employment Sectors
- IT & Software Companies
- Data Analytics Firms
- Automation & AI Startups
- Healthcare, Finance & E-Commerce
- Research & Development Labs
Why Study AI & ML at ICD-NSDC?
- Keltron Aligned Certification
- Industry-Relevant Curriculum
- Practical & Project-Based Learning
- High-Demand Future Skills
- Clear Pathway to Advanced AI Careers
ICD – Institute of Career Development,
Housing Board Junction,
Thiruvananthapuram,
Kerala, India