AI Colleagues, becoming a certified AI developer by earning the “
Certified Artificial Intelligence (AI) Developer™” credential is the key to a gratifying career in the AI sphere. This certification is specially crafted by experts in AI and covers questions from basic concepts to the very core. Certified AI Developer training is an expertly curated and excellently designed Course, rendering profound knowledge on various aspects of AI. Getting certified as an AI developer will uplift your career. Skill-based training lessons include: 1) Introduction to AI - Intelligent Agents, Advantages and Disadvantages of AI, Challenges of AI, 2) Problem Solving - Uninformed Search Algorithm, Informed Search Algorithm, Adversarial Search, Constraint satisfaction problems, 3) Knowledge Representation And Planning - Knowledge Representation and Techniques, Propositional Logic, First Order Logic, Rule-Based Systems, 4) Probabilistic Reasoning - Basic Probability Concepts, Markov and Hidden Markov Model, Association rules, Dimensionality reduction, Feature Selection and Feature Extraction, 5) Machine Learning - Types of Learning, Clustering, Classification, Decision Tree, Regression, Support Vector Machine, Reinforcement learning, 6) Communication and Perceiving - Natural Language Processing, Perception, 7) Neural Networks - What is a Neural Network?, Types of Neural Network, Neural Network Components, 8) Data Mining Tools - RapidMiner, Working with RapidMiner, Weka, Working with Weka, Orange, R/RStudio, KNIME, 9) Projects - Installing Prerequisites, Clustering using K-means in Python, and 10) Exam - You need to acquire 60+ marks to clear the exam. If you fail to acquire 60+marks, you can retake the exam after one day.
.jpeg)
No comments:
Post a Comment