Skill Builder
Post Diploma in Artificial Intelligence
AI program for diploma students covering ML, data analysis,
and application development with hands-on projects.
- Course Duration: 6 Months
Apply now to Unlock Offer!
What You’ll Learn in This Course
This program covers the full spectrum of AI development – from foundational mathematics and programming to machine learning, deep learning, natural language processing, and advanced analytics. Whether you’re new to the field or seeking to upskill, you’ll gain real experience working with tools like Python, TensorFlow, Power BI, and more.
Key Skills You’ll Gain
- Python programming, NumPy, and Pandas for data manipulation
- Supervised and unsupervised machine learning models
- Deep learning with CNNs, RNNs, LSTM, and Transformers
- Natural Language Processing using BERT, GPT
- Data visualization with Tableau and Power BI
- Real-world applications in finance, healthcare, and more
- Cloud-based deployment and model integration
- Project planning, presentation, and portfolio development
Detailed Course Curriculum
Introduction to AI: History, Definition
Definitions and Scope of AI
Applications of AI in Various Domains
Advantages and Disadvantages of AI
Mathematical Tools in AI – Linear Algebra, Probability and Statistics
Probability Theory for AI
Basic Concepts of Probability (Random Variables, Events, Probability Distributions)
Baye's Theorem and Conditional Probability
Outlier Detection
Probability
Statistics
Python Fundamentals
Visualization Using Python
EDA
Algorithms
KR
Probability
Machine Learning Fundamentals, Introduction, Definition
Types of Machine Learning – Supervised and Unsupervised Machine Learning
Supervised Machine Learning – Linear Regression, Model Representation, Hypothesis Function, Cost Function, Gradient Descent Algorithm for Parameter Estimation
Model representation, hypothesis function, cost function
Model Representation: Sigmoid Function, Decision Boundary
Gradient Descent Algorithm for Parameter Estimation
Multinomial Logistic Regression
Logistic Regression – Binary and Multinomial
Regression
Evaluation Metrics
Feature Extraction
Regression and Classification
Time Series Analysis
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Long Short-Term Memory (LSTM)
Architecture of LSTMs: Memory Cells, Input, Forget, and Output Gates
Gated Recurrent Units (GRUs)
Deep Learning Tools
Applications of NLP in Various Domains
NLP Techniques
Text Pre-processing, Tokenization: Word, Sentence, and Character Tokenization
Data Preparation and Cleaning in Tableau
Basic Visualization Types in Tableau (Bar Charts, Line Charts, Pie Charts, etc.)
Advanced Visualization Types in Tableau (Tree Maps, Heat Maps, Gantt Charts, etc.)
Tableau Calculations (Basic Calculated Fields, Table Calculations, LOD Expressions)
Data Collection Methods, Applications of Data Analytics
Data Analytics Process, Data Pre-processing and Cleaning
Exploratory Data Analysis (EDA)
Feature Engineering, Dimensionality Reduction Techniques (e.g., PCA, t-SNE)
Data-driven Decision Making
Project Proposal and Planning
Presentation and Submission
This course includes:
- Course Code : A27
- Eligibility : Degree and Above
- Duration : 12 month
- Total Hrs : 720
- Hrs/Day : 3
- Days : 240
Looking for in-depth Syllabus Information?
Explore your endless possibilities in tech and development by downloading our detailed brochure. Get insights into the topics covered, tools you’ll master, and skills you’ll gain—designed to help you grow, step by step.
Proven record of transforming careers
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Program Highlights
Earn a certificate that adds value to your resume.
Expert Mentorship
Cross-Platform Tools
Career Support
Flexible Learning
Experienced Trainers
Anandu Narayanan
AI Trainer
Kottayam , Kerala
Feba T Babu
AI Trainer
Trivandram , Kerala
Start your learning journey today! Enroll now in our course.
Take the first step toward building valuable skills and advancing your career. Our comprehensive program is designed to help you gain practical knowledge, hands-on experience, and the confidence to succeed in your chosen field.
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Hands-on Projects
Build real-world AR applications during the course.