Free Download Developing Generative AI Applications on AWS (Bedrock)
Published 6/2024
Created by Anil Bidari
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 185 Lectures ( 19h 29m ) | Size: 18.2 GB
AWS Bedrock - 15% theory 85% hands-on Lab
What you'll learn:
Master AWS Bedrock: Learn to deploy and manage Generative AI applications using AWS Bedrock.
Hands-on Linux and Python: Gain practical skills in Linux and Python essential for AI development.
Build AI Models: Acquire the expertise to design and build generative AI models from scratch.
Master Machine Learning Concepts: Learn the core concepts and techniques of machine learning, including supervised and unsupervised learning, model evaluation,
Develop Generative AI Applications: Acquire skills to build and deploy generative AI models on aws bedrock, leveraging advanced techniques and tools.
Requirements:
This is a Zero to Hero program, designed to take learners from beginners to advanced levels, making it accessible even for non-coders.
The course starts with foundational topics such as Linux and Python, progresses through Machine Learning, and culminates in developing Generative AI (aws bedrock) applications.
Description:
What You'll Learn: Zero to Hero Program - We covered everything right from basics to advanced to all Pre-requisite learning you need before learning GenAI on AWS.even non developers can start as long as your from IT background15% theory and 85% handson Lab sessionsUnderstand Linux and Python:Gain foundational knowledge of Linux and Python, essential for developing and deploying AI applications.Master Machine Learning Concepts:Learn the core concepts and techniques of machine learning, including supervised and unsupervised learning, model evaluation, and optimisation.Develop Generative AI Applications:Handson Knowledge on NLP, Hugging face, Langchain, prompt engineering,Fine tune LLM ModelImplement AI Safeguards:Learn how to apply responsible AI policies, including filtering harmful content and redacting sensitive information, to ensure ethical AI application deployment.Why Enroll:Expert Instruction: Benefit from the expertise of Anil Bidari, a seasoned professional with over 18 years of experience in cloud computing, DevOps, and Generative AI.Hands-On Learning: Engage in practical projects and real-world applications to solidify your understanding.Comprehensive Curriculum: Covering everything from foundational knowledge to advanced deployment techniques.Join this course to become proficient in developing Generative AI applications on AWS, ensuring you stay ahead in the rapidly evolving field of AI.
Who this course is for:
This course is ideal for anyone interested in entering the field of AI, including beginners with no prior coding experience. It is also suitable for professionals looking to expand their knowledge in Linux, Python, Machine Learning, and Generative AI. Whether you are a student, an aspiring data scientist, or a tech enthusiast, this comprehensive pathway will equip you with the necessary skills to excel in the AI domain.
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