08-03-2024, 11:47 AM
Published 7/2024
Created by Pushkal Shukla
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 91 Lectures ( 12h 19m ) | Size: 7.34 GB
Master the Fundamentals and Advanced Techniques of AI Development: From Basics to Cutting-Edge Applications
What you'll learn:
Skills that employers desire, helping you ace machine learning interview questions and land your dream job
Go from zero to hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, unsupervised Machine Learning
Discover new ways to use LLMs, including how to build your own chatbot
Use dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis
Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques
Various ML modellings such as Supervised Machine Learning Modelling, Unsupervised Machine Learning Modelling, Reinforcement Machine Learning Modelling
Requirements:
Fundamentals of python programming
Description:
Embark on a transformative journey into the world of Artificial Intelligence with the Certified Artificial Intelligence Developer program. This comprehensive course is designed to meet the dynamic needs of the industry, providing you with the skills and knowledge to excel as an AI Developer.Course Overview:Our AI Developer Certification program takes you from the fundamentals of AI to the intricacies of creating, training, and optimizing AI models on both labeled and unlabeled datasets. Whether you're a beginner or an experienced professional, this course offers a self-paced learning journey that blends cutting-edge knowledge with practical application.Additionally, our course includes practical hands-on exercises and lab sessions, ensuring you can effectively grasp and implement the concepts in solving real-life problems. These skills will help you ace machine learning interview questions and land your dream job.Join this program and be at the forefront of innovation in the ever-evolving field of Artificial Intelligence. Elevate your career with the skills demanded by today's tech landscape.Key outcomes of the course include Developing image recognition systems and computer vision applications, Creating your own recommendation engine.This course will help you to develop career skills such as: Preparing for machine learning and AI job interviews.Understanding industry requirements and expectations.Building a portfolio of AI projects to showcase your skills to potential employers.
Who this course is for:
Beginner to Intermediate Learners: Those new to the field of AI, machine learning, and data science will gain a solid foundation and build up to advanced concepts.
Professional Developers: Software engineers looking to expand their skill set to include AI and machine learning, enabling them to create intelligent applications and solutions.
Data Analysts: Those working with data who want to learn how to leverage AI to derive deeper insights and create predictive models.
Business Leaders and Executives: Professionals seeking to understand the strategic implications of AI and how to leverage it to gain a competitive edge in their industry.
University Students: Undergraduates or postgraduates in computer science, engineering, or related fields looking to complement their academic knowledge with practical AI skills.
Startup Founders: Entrepreneurs looking to build AI-driven products or startups and need a comprehensive understanding of how to develop and implement AI technologies.
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