"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
Advanced AI Development Training:
Unit 1: Review of AI Development Basics
This course is ideal for those who already have an established knowledge base in AI/ML and some hands-on experience building, training and deploying models.
Learners should be comfortable with coding in Python and using libraries like TensorFlow, PyTorch, HuggingFace etc.
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
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Embark on a journey of advanced AI mastery with our specialized course, "Advanced AI Development." This program is meticulously curated to elevate your understanding and proficiency in artificial intelligence. Here's a sneak peek into the comprehensive units:
In Unit 1, we revisit the basics, providing a thorough recap of fundamental AI concepts, a review of GPT and AUTO-GPT models, and an overview of essential AI development tools and libraries.
Unit 2 advances into intricate topics, including hyperparameter tuning, advanced techniques in feature engineering, and a deep exploration of transformer models, Capsule Networks, and Graph Neural Networks.
Unit 3 unfolds the power of AUTO-GPT in complex applications, guiding participants through building multi-turn conversations, dialog systems, and mastering advanced NLP tasks like summarization and sentiment analysis.
Unit 4 takes a deep dive into prompt engineering, exploring advanced techniques for effective design while addressing biases and ethical challenges in complex domains.
Venture into the world of Unit 5, where vector databases become your playground. Understand their applications and grasp best practices when integrating them into your AI development journey.
Unit 1: Review of AI Development Basics
Q1: What topics are covered in the review of AI development basics?
A1: This unit provides a recap of fundamental AI, Machine Learning, and Deep Learning concepts. It also includes a review of GPT and AUTO-GPT models, as well as an overview of AI development tools and libraries.
Unit 2: Advanced Topics in AI Development
Q2: What advanced topics are covered in AI development? A2:
This unit delves into hyperparameter tuning in Machine Learning and Deep Learning, advanced techniques in feature engineering and data augmentation, as well as a deep dive into transformer models and advanced architectures. It also covers topics such as Capsule Networks and Graph Neural Networks.
Unit 3: Advanced AUTO-GPT Applications
Q3: What applications are explored in the Advanced AUTO-GPT unit?
A3: This unit focuses on building complex applications with AUTO-GPT, including its use in multi-turn conversations and dialog systems, advanced NLP tasks such as summarization, translation, and sentiment analysis. It also covers troubleshooting and optimizing AUTO-GPT applications.
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