Uniquely Adapted
Progressive Institutions
Career-Focused Colleges
Innovative Enterprises
ZenteiQ's AI and ML
Curriculum
Comprehensive Curriculum
10 Meticulously Crafted Courses, Including Finishing School.
Interactive Learning Blend
30 Hours Expert Lectures + 30 Hours Hands-on Lab and Mini-Projects per Course
Industry-Guided Excellence
Mentorship from Seasoned Professionals
Tailored Learning Journey
From Novice to Advanced, Fostering Proficiency in Foundational Concepts and Cutting-Edge AI/ML Technologies
ZenteiQ's AI-Driven
LMS
Job Role
Mapping
Modular
Design
Continuous Assessment
Interactive
Content
In-Depth
Analytics
ZenteiQ Programs
Python for AI
& ML
Focus: Basics of Python, crucial for AI and ML applications.
Practical: Hands-on Python coding exercises and data
manipulation projects.
Mathematical Foundations of
Machine Learning
Focus: Core mathematics including linear algebra, calculus,
probability, and statistics.
Practical: Simulations and mathematical modeling for ML
algorithms.
Machine Learning
for AI
Focus: Fundamental ML concepts like supervised
and
unsupervised learning.
Practical: Real-world implementation and
evaluation of
various ML models.
Deep Learning
Focus: In-depth study of neural networks, CNNs, RNNs, and
deep learning frameworks.
Practical: Building and training sophisticated deep learning
models.
Natural Language Processing
(NLP)
Focus: Techniques in text processing, sentiment analysis,
and NLP models.
Practical: Developing NLP applications including chatbots.
Computer Vision and
Video Analytics
Focus: Image processing techniques and their applications
in various fields.
Practical: Projects on image classification and facial
recognition.
Reinforcement
Learning
Focus: Fundamentals of reinforcement learning and its
advanced forms.
Practical: Implementation of reinforcement learning
algorithms.
Cloud Computing for
AI and ML
Focus: Utilization of cloud platforms and services for ML.
Practical: Deploying and managing ML models on cloud
infrastructures.
DevOps &
MLOps
Focus: Integration of ML into development operations,
emphasizing CI/CD and MLOps principles.
Practical: Setting up and managing CI/CD pipelines for ML
applications.
Finishing
School
Focus: Preparing for industry with insights on trends,
project management, and AI ethics.
Practical: A capstone project and portfolio development for
real-world readiness.
Join the ZenteiQ Revolution in
Contact us for a personalized discussion.
