Certification Course in AI

Overview

Discover the intricacies of artificial intelligence through Credge’s specialized certification
program designed for high school students. Gain insights into AI essentials and advanced
concepts such as Deep Learning, Keras, Tensorflow, Convolutional Neural Networks, and
Vectorization.
This program equips you to reduce errors, automate tasks, and fortify businesses with informed
decisions and rapid predictions. With the AI industry flourishing, this certification opens doors to
a lucrative career. Dive into real-world applications, applying your acquired knowledge to make
a significant impact. Uncover the potential of AI and position yourself for success in this dynamic
field.

Why Choose this Program?

1. Gain expertise in supervised and unsupervised learning, decision trees, and real-world problem-solving using popular AI and ML technologies.
2. Understand RL, Markov Decision Processes, and Q-learning algorithms for solving complex optimization problems independently.
3. Explore neural networks, activation functions, and delve into deep learning concepts for pattern recognition and complex data analysis.
4. Learn text processing in Python, feature extraction, sentiment analysis, and explore NLP applications in various business domains.
5. Develop skills in computer vision to detect faces, eyes, and attributes using Haar cascades, enabling intelligent interaction with the surrounding world.

Salient Features of This Program

• Guidance from Industry Leaders
• Global Scholar Network
• Tailored Learning with Adaptive Tech
• Top-Tier Evaluation and Feedback

You Get A Completion Certificate

Upon completing the AI Certification Course, you’ll receive a valuable certificate acknowledging
your proficiency in handling AI. This certification not only signifies your excellence in the field but
also serves as a powerful catalyst for advancing your career. Holding this certificate sets you
apart, paving the way for new possibilities and professional growth. It is a tangible proof of your
AI expertise, positioning you as a valuable professional and creating additional avenues for
success in your career.

Course Curriculum

• Introduction to Python
• Learn how to manipulate datasets in Python using Pandas which is the most powerful library for data preparation and analysis.

• Introduction to Machine Learning
  • Regression (Linear, Multiple and Logistic)
  • Classification (K-NN, Naive Bayes) techniques
  • Decision Trees
  • K-means Clustering
  • Hierarchical Clustering
  • High-dimensional Clustering
  • Case Study

• Neural Network Basics
  • Deep Neural Networks
  • TensorFlow using Neural Networks & Deep Learning
  • Introduction to Keras , Pytorch
  • ANN
  • Case Study

• Deep Learning and Computer Vision
  • Convolutional Neural Networks
  • Keras Library for Deep Learning in Python
  • Pre-processing Image Data
  • Object and Face recognition using OpenCV
  • Case Study

• Natural Language Processing and Speech Recognition
  • Statistical NLP and text similarity
  • Text Summarization
  • Syntax and Parsing techniques
  • Semantics and Generation
  • Scikit Learn NLP imports
  • Case Study

• Reinforcement Learning
  • Value based methods
  • Q-learning
  • Policy-based methods