16 Hours Artificial Intelligence (AI)Training Course in Chula Vista

16 Hours Artificial Intelligence Training course is being delivered from October 15, 2020 – November 10, 2020 US Pacific Time

This event has been UPDATED since it was first published. View the UPDATED & Detailed Artificial Intelligence Training course for beginners Information here.16 Hours Artificial Intelligence Training course is an Instructor-led and guided training being delivered from October 15, 2020 – November 10, 2020 for 16 Hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session.All Published Ticket Prices are in US DollarsThe course will be taught in English language16 Hours Artificial Intelligence Training ScheduleOctober 15, 2020 – November 10, 2020 US Pacific time4 Weeks | 2 hours on Tuesdays, 2 hours on Thursdays every week US Pacific time8:30 AM – 10:30 AM US Pacific time each of those daysPlease click here to add your location and check your local date and time for first session to be held on October 15, 2020 at 8:30 AM US Pacific Time.Features and Benefits16 Hours, 8 sessions, 4 weeks of total Instructor-led and guided trainingTraining material, instructor handouts and access to useful resources on the cloud providedPractical Hands-on Lab exercises providedActual code and scripts providedReal-life ScenariosPrerequisitesNo previous experience of AI is requiredWho can take this course?Those with no background or little background in AI who aspire to learn AICourse Outline1. Overview of AIWhat is Artificial Intelligence?Philosophy of AIGoals of AIWhat Contributes to AI?Programming without and with AIWhat is AI Technique?Applications of AIHistory of AI2. Intelligent SystemsWhat is Intelligence?Types of IntelligenceWhat is Intelligence made of?Difference between Human and Machine Intelligence3. Research Areas of AIReal Life Application of Research AreasTask Classification of AI4. Agents and EnvironmentsWhat are Agent and EnvironmentAgents TerminologyRationalityWhat is Ideal Rational AgentThe Structure of Intelligent AgentsThe Nature of EnvironmentsProperties of Environment5. Popular Search AlgorithmsSingle Agent Pathfinding ProblemsSearch TerminologyBrute-Force Search StrategiesInformed (Heuristic) Search StrategiesLocal Search Algorithms6. Fuzzy Logic SystemsWhat is Fuzzy Logic?Why Fuzzy Logic?Fuzzy Logic Systems ArchitectureExample of a Fuzzy Logic SystemApplication Areas of Fuzzy LogicAdvantages of FLSsDisadvantages of FLSs7. Natural Language ProcessingComponents of NLPDifficulties in NLUNLP TerminologySteps in NLPImplementation Aspects of Syntactic Analysis8. Expert SystemsWhat are Expert Systems?Capabilities of Expert SystemsComponents of Expert SystemsKnowledge BaseInference EngineUser InterfaceExpert Systems LimitationsApplications of Expert SystemExpert System TechnologyDevelopment of Expert Systems: General StepsBenefits of Expert Systems9. RoboticsWhat are Robots?What is Robotics?Difference in Robot System and other AI ProgramRobot LocomotionComponents of a RobotApplications of Robotics10. Computer VisionTasks of Computer VisionApplication Domains of Computer Vision11. Neural NetworksWhat are Artificial Neural Networks (ANNs?)Basic Structure of ANNsTypes of Artificial Neural NetworksWorking of ANNsMachine Learning in ANNsBayesian Networks (BN)Applications of Neural Networks