Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 19 Minute(s)
Language
English
Taught by
Pushkal Shukla
Rating
Course Overview
Master the Fundamentals and Advanced Techniques of AI Development: From Basics to Cutting-Edge Applications
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.
Course Content
- 10 section(s)
- 91 lecture(s)
- Section 1 AI: Big Data and AI
- Section 2 AI: Artificial Intelligence on the Cloud
- Section 3 AI: AI in Banking
- Section 4 AI: Exploring Feature Selection
- Section 5 AI: Chatbots
- Section 6 AI: White box XAI for AI Bias & Ethics
- Section 7 Essential ML: Machine Learning and Python
- Section 8 Essential ML: Supervised Learning- Classification and Regression
- Section 9 Essential ML: Unsupervised Learning- Detecting Patterns
- Section 10 Essential ML: Dimensionality Reduction
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
Skills covered in this course
Reviews
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KKevin Emery
It is a good overview so far, but the quality of slides could be better, as some images are distorted. The quality of delivery is decent, but there is some poor grammar and mispronunciation of words during the delivery.
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SSteve Violich
This course is a surface-level overview that mostly just mentions AI tools and techniques without really teaching how to use them. The exercises are pre-written notebooks with no clear goals or problem-solving - you just run existing code. I didn't gain any hands-on proficiency completing this course.
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OOlujide Adesina
Excellent presentation
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NNathaniel Almanza
Informative
