Covers Bedrock models, prompt engineering, agents, RAG workflows, tuning, deployments, and GenAI security
π₯ 21 students
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
-
Course Overview
- The “AWS Generative AI Developer Professional: 1500 Questions” course is an intensive program tailored for developers aiming to master practical generative AI application within the Amazon Web Services ecosystem. Featuring an unparalleled bank of 1500 uniquely crafted questions, it provides rigorous practice for real-world scenarios and professional certification. This course emphasizes hands-on implementation over mere theory, leveraging AWS Bedrock to build, deploy, and secure cutting-edge GenAI solutions. It’s a comprehensive pathway to becoming an expert in a rapidly evolving field, preparing you for both industry demands and advanced professional roles.
- Key topics include an in-depth exploration of Bedrock models, advanced prompt engineering, building intelligent agents, implementing sophisticated RAG workflows, strategic model tuning, robust application deployments, and paramount GenAI security. This extensive coverage, solidified by a massive question bank, empowers learners to confidently architect and manage complex generative AI projects, transforming innovative concepts into functional, secure, and scalable cloud-native solutions on AWS.
-
Requirements / Prerequisites
- A solid foundational understanding of core AWS services (IAM, S3, Lambda, EC2) and basic CLI operations is crucial for navigating the AWS ecosystem effectively.
- Proficiency in Python programming is required, as it’s the primary language for interacting with AWS SDKs and developing generative AI applications.
- A basic grasp of machine learning and deep learning fundamentals (neural networks, transformers) will aid in understanding underlying GenAI principles.
- Familiarity with general cloud computing concepts and development environments provides a strong starting point.
- A strong commitment to hands-on practice and rigorous problem-solving, essential for tackling the extensive question bank and mastering complex challenges.
-
Skills Covered / Tools Used
- AWS Bedrock API Mastery: Expert interaction with various foundational models via Amazon Bedrock, understanding their capabilities and optimal use for diverse generative tasks.
- Advanced Prompt Engineering: Developing sophisticated prompt construction strategies, including few-shot, zero-shot, chain-of-thought, and iterative optimization for precise FM outputs.
- Building Generative AI Agents: Designing and orchestrating intelligent agents capable of multi-step reasoning, tool utilization, and autonomous task execution by chaining Bedrock models and APIs.
- Retrieval Augmented Generation (RAG) Workflows: Architecting and deploying robust RAG systems using AWS services (OpenSearch, S3, Lambda) to enhance FM responses with accurate, domain-specific information, mitigating hallucinations.
- Model Tuning and Adaptation: Techniques for fine-tuning foundational models on custom datasets within Bedrock, leveraging PEFT methods for specific industry applications.
- GenAI Application Deployment: Implementing scalable and resilient deployment patterns for GenAI solutions using AWS Lambda, API Gateway, ECS/EKS, and CI/CD pipelines.
- Generative AI Security Best Practices: Applying critical security measures for GenAI applications, covering data privacy, input/output moderation, adversarial attack mitigation (prompt injection), and responsible AI guidelines.
- AWS SDK (Boto3) & Developer Tools: Extensive practical application of Boto3 for integrating Bedrock and other AWS services into GenAI development workflows.
- Cost Optimization & Monitoring: Strategies for efficient resource utilization, managing token costs, and monitoring GenAI application performance with Amazon CloudWatch.
-
Benefits / Outcomes
- Expert-Level Proficiency: Achieve deep, practical mastery in AWS Generative AI development, equipping you with highly sought-after skills for the modern tech landscape and professional certifications.
- Hands-On Solution Design: Gain extensive experience in designing, building, and deploying sophisticated, real-world generative AI solutions on AWS, translating theory into impactful applications.
- Enhanced Problem-Solving: Sharpen critical thinking through 1500 diverse questions, enabling confident and innovative approaches to complex GenAI challenges.
- Accelerated Career Growth: Position yourself as a valuable expert in Generative AI, unlocking new career opportunities and significantly boosting your market value in a high-demand field.
- Secure & Scalable Architecting: Learn to architect secure, scalable, and cost-effective GenAI applications, mastering best practices for robust, production-ready systems.
-
PROS
- Extensive Practice: 1500 questions ensure unparalleled practical exposure and comprehensive understanding of all topics, crucial for certification and real-world application.
- Industry-Relevant: Strong focus on practical, hands-on development with AWS Bedrock, making skills directly applicable to current professional roles.
- Broad Coverage: Encompasses a wide range of critical GenAI development areas, from foundational models to advanced security.
- Professional Readiness: Specifically prepares learners for advanced developer roles and certification exams through diverse, challenging scenarios.
-
CONS
- The substantial volume of 1500 questions, while a key strength, requires a significant time commitment and high self-discipline, which might be challenging for some learners.
Learning Tracks: English,IT & Software,IT Certifications
Found It Free? Share It Fast!