Generative AI Learning Plan for Developers
AWS Generative AI Developer Mastery: From Bedrock to Production
- Master Amazon Bedrock
- Design advanced prompts using zero-shot/few-shot techniques
- Build RAG applications with Amazon Bedrock Knowledge Bases
- Integrate LangChain to automate workflows
- Deploy secure AI agents using Amazon Bedrock Guardrails
- Optimize costs through prompt caching, model selection
- Align with industry
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Google Cloud certifications in AI
What you will learn
"Generative AI Learning Plan for Developers" is a comprehensive AWS training program designed for developers aiming to build scalable generative AI applications without fine-tuning large language models (LLMs). This 14-hour curriculum blends foundational knowledge with hands-on practice, covering Amazon Bedrock, prompt engineering, retrieval-augmented generation (RAG), and LangChain integration. Developers will learn to prototype AI-driven solutions like chatbots, text/code generators, and vision-based applications while addressing security, bias mitigation, and cost optimization. The course culminates in building real-world projects using AWS services, preparing learners to deploy enterprise-ready AI systems and earn AWS certifications.
AWS's Generative AI Learning Plan for Developers course Outline
Learn the Generative AI Learning Plan for Developers
Want to harness generative AI without the complexity of training models? AWS's Generative AI Learning Plan for Developers offers a 14-hour roadmap to build chatbots, code generators, and RAG systems using Amazon Bedrock and LangChain. Perfect for Python developers, this course includes labs on vision understanding, bias mitigation, and cost optimization. Ready to innovate faster? Click the link to start your AI journey and earn AWS credentials!
Start your journey today:
Course Structure Includes:
- Introduction to Generative AI (2h): Risks, benefits, and use cases like content generation.
- Project Planning (1h): Technical foundations, risk evaluation, and workflow design.
- Amazon Bedrock Basics (2h): Managed FMs, chatbot architecture, and console implementation.
- Prompt Engineering (3h): Zero-shot/few-shot techniques, bias mitigation, and model-specific optimizations (e.g., Claude, Titan).
- Amazon Nova Models (2h): Vision understanding, image/video generation with Nova Canvas/Reel.
- Building AI Apps (4h):
- RAG with Knowledge Bases
- LangChain agents for code/text generation
- Guardrails for responsible AI.
- Amazon Q Developer (1h): Code optimization, Java version migration, and IDE integration.
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Become an AWS AI expert with 14 hours of labs on Bedrock, LangChain, and RAG. Build chatbots, code generators, and secure agents—no LLM fine-tuning required.
Pre-requisites
AWS Technical Essentials and intermediate-level proficiency in Python
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