LETS BUILD AI/ML FOUNDATIONS
02 MONTHS COMPREHENSIVE STUDY
AI Foundations Key Knowledge Areas
• AI Basics
• History of AI
• Rule Based AI to GenAI to Agentic
• AI Enterprise AI use cases
• Modern AI, Current Landscape,
• Job Opportunities
• Role of Mathematics,
• Statistics, Algorithms, Programming,
• Today’s Programming, Assisted Programming
• Programming Concepts / Building Blocks Introduction
Programming Foundations Programming with Python
• Python Intro
• IDEs
• Installations
• Variables
• Conditional Statements
• Loops
• Casting
• Strings
• Booleans
• Lists, Tuples, Sets, Dictionaries
• User defined functions
• Built in Functions
• Range, Regex,
• Libraries Installations PIP
• OOP Concepts
• Classes
• Constructor
• User Defined functions
• Polymorphism
• Inheritance
• Encapsulation
• Importing Modules, libraries
• Utilizing modules
Python for AI and DS
• Python for AI
• Essential Python / mathematics
• Numpy Library
Numpy Important Functions
• Pandas Library
Pandas Important Functions
• Practical Examples
Data Workflows
• Typical Data Workflows / Pipeline
• EDAs
• Data cleaning
• Data Wrangling
• Feature Engineering
• Practical Examples
Machine Learning (Supervised ML)
Regression
Linear Regression
MSE
MAE
R²
Classification,
Logistic Regression
Support Vector Machines
Confusion Matrix
TP-FP-TN-FN
Precision
Recall
F1-Score
Specificity
TPR
FPR
Practical Examples
Statistical Features
Class Balance Techniques
Random Sampling
Over Sampling
SMOTE
ADASYN
Under Sampling
TOMEK Links
Near Miss
Machine Learning (Unsupervised ML)
• Clustering
K-Means
DBSCAN
• Dimensionality Reduction
Principal Component Analysis
Covariance, PC1, PC2
• Practical Examples
Reinforcement Learning
• RL Algorithm
• Q-Learning
• On Policy / Off Policy
• SARSA
• Practical Example
Advance ML
- Additional ML Algos
- Ensemble Learning
- Bagging
- Random Forest
- Boosting
- XgBoost / AdaBoost
- Practical Examples
Are you ready to become an AI and Machine Learning expert? Our 16-week intensive AI/ML course is designed for learners who want to gain hands-on expertise in Python programming, data workflows, and cutting-edge machine learning techniques. This course combines theoretical knowledge with practical applications, ensuring you are industry-ready by the end of the program.
TNBits delivers professionally designed training and capacity-building programs focused on Artificial Intelligence and advanced IT technologies. Our courses are co-created by experienced academicians and industry practitioners, ensuring a strong balance between theoretical foundations and real-world application.
Expert Tutors
Courses follow a disciplined structure grounded in established principles
Content is shaped to reflect how concepts are applied in real-world environments
Learning progresses logically, supporting both understanding and application
Practicals Oriented
Course material is framed around practical scenarios and real operational contexts
Emphasis on applying concepts to realistic problems and use cases
Encourages sound judgment, analytical thinking, and professional discipline
Beginner's Friendly
Programs are suitable for beginners, early-career professionals, and experienced learners
Foundational pathways do not assume prior specialization
Designed to accommodate learners from diverse academic and professional backgrounds
Monthly Installments
Monthly installment options available
Fee structure designed to support sustained learning and long-term development
- Special Discount offers on Lump Sum payments and early bird registrations
Why This Course is Unique
Hands-on projects: Work on real-world datasets and build your AI/ML portfolio.
Industry-ready skills: Learn the techniques currently used by top tech companies.
Expert mentorship: Guided by experienced instructors with practical AI/ML expertise.
Comprehensive curriculum: Covers everything from Python basics to advanced ML in 16 weeks.
Challenging and vibrant learning: Be prepared for an intense, transformative learning journey.
Who Should Enroll
Beginners with a passion for AI and Machine Learning.
Data enthusiasts looking to upskill in Python and ML workflows.
Professionals seeking career growth in AI, data science, or analytics.
Anyone who wants hands-on, project-based experience in cutting-edge AI/ML technologies.
AI and Machine Learning are redefining industries worldwide. From healthcare to finance, e-commerce to autonomous vehicles, AI/ML skills are highly demanded. By the end of this course, you will be able to:
Build predictive models for business insights.
Design intelligent systems using advanced ML techniques.
Apply AI/ML knowledge to real-world problems.
Enroll Today
Take the first step towards becoming an AI and Machine Learning expert. This is your chance to gain hands-on experience, advanced knowledge, and a portfolio that stands out.