AI-Foundation Training Syllabus
Introduction to AI & ML
• What is Artificial Intelligence?
• What is Machine Learning?
• AI vs ML vs Deep Learning
• Applications of AI & ML
• Real-world Use Cases
• Career Paths in AI & ML
Python for AI & ML (Quick Revision)
• Python Basics for ML
• Data Types & Control Flow
• Functions & Modules
• NumPy Basics
• Pandas Basics
• Data Handling with Python
Mathematics for AI & ML (Essentials)
• Scalars, Vectors & Matrices
• Matrix Operations
• Transpose & Inverse
• Dot Product
• Linear Algebra intuition for ML
Statistics for AI & ML (Core Module)
• Descriptive Statistics
• Mean, Median, Mode
• Variance & Standard Deviation
• Range & Percentiles
• Skewness & Kurtosis
• Probability Basics
• Probability Concepts
• Random Variables
• Probability Distributions
• Conditional Probability
• Data Distributions
• Normal Distribution
• Binomial Distribution
• Poisson Distribution
• Central Limit Theorem (Concept)
• Statistical Inference
• Sampling Techniques
• Population vs Sample
• Bias & Variance
• Confidence Intervals
• Hypothesis Testing (Basics)
• P-value (Conceptual)
• Correlation & Relationships
• Correlation vs Causation
• Covariance
• Pearson & Spearman Correlation
Data Preprocessing & EDA
• Data Collection
• Data Cleaning
• Handling Missing Values
• Handling Outliers
• Feature Scaling
• Feature Encoding
• Exploratory Data Analysis (EDA)
• Data Visualization for Insights
Supervised Learning
• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Regularization (Ridge, Lasso)
• Logistic Regression
• K-Nearest Neighbors (KNN)
• Support Vector Machine (SVM)
• Naive Bayes
• Decision Trees
• Random Forest
Unsupervised Learning
• K-Means Clustering
• Hierarchical Clustering
• DBSCAN
• Principal Component Analysis (PCA)
• Dimensionality Reduction
Model Evaluation & Performance Metrics
• Bias-Variance Trade-off
• Confusion Matrix
• Accuracy, Precision, Recall, F1-Score
• ROC Curve & AUC
• Cross-validation
Feature Engineering
• Feature Creation
• Feature Selection
• Feature Transformation
• Handling Categorical Data
• Handling Text Data
Machine Learning Pipelines
• ML Workflow
• Pipeline Creation
• Hyperparameter Tuning
• Grid Search & Random Search
Introduction to Deep Learning
• Neural Network Basics
• Perceptron
• Activation Functions
• Loss Functions
• Gradient Descent
• Backpropagation (Concept)
Deep Learning with Python
• TensorFlow / Keras Overview
• Building Neural Networks
• ANN Models
• CNN Introduction
• RNN Introduction
Model Deployment Basics
• Saving & Loading Models
• Introduction to Flask / FastAPI
• Deploying ML Models (Overview)
• Cloud Deployment Basics (AWS)
Ethics & Responsible AI
• Bias in AI
• Fairness & Transparency
• Data Privacy
• Ethical AI Practices
AI & ML Projects
• Beginner ML Projects
• Intermediate ML Projects
• Advanced ML Projects
• End-to-End Capstone Project
Interview & Career Preparation
• ML Interview Questions
• Statistics Interview Questions
• Case Studies
• Resume & Portfolio Building
• GitHub & LinkedIn Optimization
Frequently Asked Questions
AI Foundational Course Training FAQs
Who can attend this training?
Anyone interested in learning the basics of Artificial Intelligence and Machine Learning, including students, working professionals, job seekers, and individuals from non-technical backgrounds.
How to attend this training?
You can join the training online through Synkoc’s virtual classroom platform after completing the enrollment process.
What is the exact location?
This is an online-only course, accessible from anywhere.
What makes Synkoc Training Institute stand out for AI courses?
Synkoc offers industry-aligned curriculum, hands-on projects, expert trainers, flexible learning options, and strong career support, ensuring high-quality AI education.
Which tools and technologies will I be learning in this course?
You will learn AI fundamentals, Python basics, ML algorithms, data preprocessing, model building, evaluation techniques, and commonly used tools like Jupyter Notebook and essential Python libraries.
What are the qualifications and industry experience of the AI instructors at Synkoc?
Our instructors are experienced AI/ML professionals with real-world project exposure and strong academic backgrounds.
Can I access software and tools during the course?
Yes. All required tools, Python environments, libraries, and setup instructions will be provided.
Are there any prerequisites for the AI Foundational Course?
No. Basic computer knowledge is sufficient. No prior coding or math background is required.
How hands-on is the AI training at Synkoc?
The course includes practical exercises, guided labs, datasets, real-time examples, and mini-projects to apply your learning effectively.
Does Synkoc offer any certification upon completion?
Yes. You will receive a Synkoc AI Foundational Course Certificate after completing the training.
Is the AI course suitable for beginners?
Absolutely. The course is designed especially for beginners and those starting their AI journey.
Can I access course materials after completing the AI course?
Yes. You will retain access to essential course notes, recordings (if provided), and study material.
What learning resources are provided by Synkoc?
You will receive study materials, practice datasets, coding examples, project files, and recommended reference links.
How flexible is the schedule for the AI course at Synkoc?
We offer flexible online class timings to suit students, working professionals, and part-time learners.
Are there opportunities for networking or career support at Synkoc?
Yes. You will receive mentorship, resume guidance, interview preparation, and career assistance.
What is Synkoc’s policy regarding technical support for software-related issues?
Our team provides full technical assistance for installation, environment setup, and troubleshooting during the course.
Can I attend a demo class before enrolling in the AI course?
Yes. You can book a free demo class to experience the training before joining.
What is Synkoc’s refund or cancellation policy for the AI course?
The refund or cancellation policy will be provided at the time of registration, based on Synkoc’s training terms.
