AI & Machine Learning Overview

Master the Future of Technology: Become a Certified AI & Machine Learning Expert and Build Intelligent Solutions!

Rohil NextGen offers a comprehensive AI & Machine Learning training program covering Machine Learning, Deep Learning, Natural Language Processing, and practical AI development tools like Python, TensorFlow, and Scikit-learn.

BEST INSTITUTE 4.9 Ratings
2025
Latest Curriculum
60
Total Hours
25
Theory (Hours)
35
Practical (Hours)

Why Choose AI & ML Certification?

Annual Earnings

Estimated Salary

₹ 9.5 L

Career Growth

Growth Rate This Year

35%

Job Demand

Projected by 2026

5 L

Become an AI & ML Specialist

❝ Learn Machine Learning, Deep Learning, and AI Tools to Solve Real-World Problems ❞

Course Overview

This AI & Machine Learning course is structured to teach you fundamental algorithms, advanced neural networks, model deployment techniques, and practical real-time projects using Python, TensorFlow, and AI platforms.

Key Learning Outcomes

  • Build intelligent systems using Python and ML libraries.
  • Master Machine Learning algorithms like Regression, SVM, and Decision Trees.
  • Understand and create Deep Neural Networks using TensorFlow and Keras.
  • Explore Natural Language Processing and Computer Vision applications.
  • Deploy machine learning models into production environments.

Career Prospects with This Course

  • Start your career as an AI Engineer, ML Developer, or Data Scientist.
  • Work on predictive analytics, automation, and intelligent system designs.
  • Join research teams for cutting-edge AI innovation and solutions.
  • Develop AI-based apps, chatbots, and recommendation engines.
  • Build your own AI startups or offer freelance AI consultancy services.

Syllabus

Introduction to AI & Machine Learning
Supervised & Unsupervised Learning
Machine Learning Algorithms
Deep Learning & Neural Networks
Natural Language Processing (NLP)

Frequently Asked Questions

What is Artificial Intelligence (AI)?

Artificial Intelligence refers to systems or machines that mimic human intelligence to perform tasks and improve themselves based on the information they collect.

What are the types of AI?

There are mainly three types: Narrow AI (designed for specific tasks), General AI (human-level intelligence), and Super AI (beyond human intelligence, still theoretical).

Where is AI used today?

AI is used in voice assistants (like Alexa), recommendation systems (Netflix, Amazon), autonomous vehicles, healthcare diagnostics, and financial fraud detection.

What programming languages are best for AI development?

Python is the most popular due to its simplicity and AI libraries. Other languages include Java, C++, and R for specific AI applications.

How does Machine Learning relate to AI?

Machine Learning is a subset of AI that enables machines to learn from data and improve without being explicitly programmed.

Can AI replace human jobs?

AI can automate certain tasks but also creates new job opportunities in areas like AI development, ethics, maintenance, and AI strategy roles.