Online self-learning courses offer autonomy, allowing individuals to learn at their own pace. They provide structured training materials with review exercises to enhance understanding. Utilizing multimedia resources like videos and presentations, learners actively engage with the content. while flexibility enables customization of study schedules. This fosters an environment conducive to effective learning and skill development, accommodating personal commitments.
Most teams prefer using ready-made large language models instead of managing them on their own. It’s costly, slow to set up, & hard to keep running. Amazon Bedrock lets you access models from providers like Anthropic, Meta, Mistral, and Amazon through a single AWS API. You can use these models without setting up or maintaining your own servers & GPUs.
Knowing the API is easy. The hard part is building something people can trust. That’s what we specialize in at GoLogica AWS Bedrock Training.
Initially, you’ll learn about what basic models can perform. Moreover, you will also study the restrictions of those models & how to choose the right model while handling expenses. After that, you’ll build & test prompts & connect Amazon Bedrock with Python. Next, you’ll create a knowledge base from PDFs and web pages and see how breaking content into smaller sections affects the accuracy and relevance of AI answers.
Agents come next. You’ll build one that calls Lambda functions and external APIs, and you’ll watch it get things wrong, which is the best way to learn how to fix it. Guardrails, model evaluation, and a look at fine-tuning round out the technical side.
We also spend time on the boring but significant things, private networking with VPC endpoints, IAM permissions, logging, encryption, and what a Bedrock bill looks like after a month of use. Those are the questions that managers ask.
Every class has a lab. You end up with your own project. For example, a ticket-sorting agent or a company policy chatbot that you can pull up on screen & explain in an interview.
Not sure about AWS or Python yet? That’s perfectly fine. Your trainer goes over the basics in week one. The training is suitable for developers, solution architects, data professionals, and cloud engineers who want to build their AI skills. You can select weekdays or weekends. Additionally, in this certification course, every class is recorded. It helps you watch the class again later on.
Start building your Generative AI application development skills with GoLogica AWS Bedrock Online Training. Explore the curriculum, understand the project coverage, and contact our team to learn about upcoming batches.
Salary Trends:
According to Indeed and ZipRecruiter salary insights, AWS Bedrock and Generative AI professionals can earn approximately 8 to 25+ LPA in India and $100,000 to $160,000 annually in the USA, depending on cloud expertise, AI development skills, experience, and job responsibilities.
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AWS Bedrock Curriculum
Artificial Intelligence and Machine Learning Fundamentals
Generative AI Concepts
Large Language Models (LLMs)
Transformer Architecture
Foundation Models (FMs)
Prompt Engineering
Generative AI Applications and Use Cases
Introduction to Amazon Bedrock
Amazon Bedrock Architecture
Foundation Models and Model Providers
Amazon Nova Models
Model Selection and Configuration
Amazon Bedrock Playground
Model Inference and APIs
Prompt Design and Optimization
Zero-Shot and Few-Shot Prompting
System Prompts and Instructions
Prompt Templates
Model Fine-Tuning
Model Evaluation and Optimization
Retrieval-Augmented Generation (RAG) Fundamentals
RAG Architecture and Workflow
Data Sources and Document Processing
Text Chunking and Embeddings
Vector Databases and Vector Search
Amazon Bedrock Knowledge Bases
Hybrid Search and Retrieval
RAG Application Development
Amazon Bedrock APIs
Python Integration with Amazon Bedrock
AWS SDK (Boto3)
Converse API and Model Invocation
Streaming Model Responses
Conversational AI Development
LangChain Integration
AI Chatbot Development
AI Agent Fundamentals
Amazon Bedrock Agent Architecture
Agent Creation and Configuration
Agent Instructions and Prompt Design
Action Groups and AWS Lambda Integration
Knowledge Base Integration
Function Calling and Tool Integration
Agent Testing and Deployment
Introduction to Amazon Bedrock Flows
Visual Workflow Development
Prompt and Model Nodes
Knowledge Base and Lambda Nodes
Workflow Configuration
Multi-Step AI Workflows
Workflow Testing and Deployment
Agentic AI Fundamentals
Amazon Bedrock AgentCore Overview
AgentCore Runtime
AgentCore Gateway
AgentCore Identity
AgentCore Memory
AgentCore Browser and Code Interpreter
Multi-Agent Orchestration
Agent Deployment and Scaling
MCP Fundamentals and Architecture
MCP Servers and Clients
MCP Integration with AI Agents
Tool Integration and External APIs
AWS Lambda Integration
Enterprise Application Integration
Agent Interoperability
Amazon Bedrock Guardrails
Content Filtering and Safety Policies
Prompt Injection Prevention
Sensitive Information Protection
Responsible AI Fundamentals
AWS IAM and Access Management
Data Privacy and Security
AI Governance and Compliance
Foundation Model Evaluation
RAG Evaluation and Performance Testing
AI Response Quality Assessment
Amazon Bedrock Model Evaluation
Model Performance Optimization
Amazon CloudWatch Monitoring
Logging and Troubleshooting
Cost and Latency Optimization
The GoLogica certification is widely acknowledged, enhancing the credibility of your resume and opening doors to high-level positions in leading multinational corporations globally.
At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in AWS Bedrock technology.
You will get certified in AWS Bedrock by clearing the online examination with a minimum score of 70%.
Get Certification
AWS Bedrock Objectives
It’s an AWS service that gives you access to AI models from companies like Anthropic, Meta, and Mistral through one API. AWS runs the models, so you just send requests and get answers back.
You’ll learn to build apps on Bedrock, from simple chatbots to agents that call your own systems. Most of the time goes into labs, not slides.
It’s mainly designed for developers, cloud engineers, data engineers, and solution architects. Anyone with some AWS & Python exposure can keep up.
A little helps, like knowing what S3 and IAM are. If you don’t, the first week covers enough to get going.
Not really. Bedrock hides the heavy ML work, so what counts more is that you can write code & call an API.
Q. I want to know how much Python knowledge is needed.
Basic Python is enough, such as functions, loops, JSON & using a library. Most lab code uses boto3, and we go through it line by line.
The training usually lasts a few weeks. It depends on the weekday or weekend schedule you choose. Reach out to GoLogica for the latest course duration and available class schedules.
You’ll explore models available through Amazon Bedrock, including Claude, Llama, Mistral, Titan, and Nova. Model availability can vary by AWS region, so you’ll also learn how to check which options are supported.
RAG stands for Retrieval-Augmented Generation. It allows an AI model to search your documents for relevant information before answering. Thus, helping reduce inaccurate or made-up responses.
Yes, using Bedrock Knowledge Bases and a vector store. You’ll also test how document chunking changes the results.
They’re AI helpers that decide which steps to take and call your Lambda functions or APIs to do them. We build one from scratch in class.
They’re filters that block unwanted topics, harmful content, and private data in prompts and replies. You’ll set a few up and then try to break them.
Q. I would like to know if fine-tuning is part of the course.
Yes, but we keep it practical. You’ll see how to prepare data and run a job, and also when a better prompt does the same thing for far less money.
Yes, a good chunk of time goes there. System prompts, examples, output formats, and fixing bad replies.
Bedrock is for ready-made models behind an API. SageMaker is for training or hosting your own models, and many companies use both.
Your data remains within your AWS environment, with access controls, logging, and private networking options available. These security features help organizations protect sensitive information and meet their security requirements.
Yes, you’ll run labs in your own account. The trainer shows you how to set it up and keep an eye on spending.
Not if you follow the clean-up steps. Bedrock charges by use, and lab calls are less.
A document Q&A chatbot, a simple support agent, and a summarizer are common ones. You pick the final project with your trainer.
GoLogica gives you a course completion certificate. For AWS’s own exams, you’ll still need to study separately, though this course covers a lot of the practical side.
Yes, classes are live online. You can join from home or from the office.
Every class is recorded, so you can listen to the class even if you miss it. You can also ask your trainer about it in the next one.
Working professionals who use AWS and generative AI in their jobs. They tell you what actually goes wrong in real projects.
Generative AI developer, cloud engineer, AI solutions architect, and ML engineer roles are common targets. What you land depends on your background and your project.
It depends on your city, experience, and the company, so we won’t throw out a number. A solid project and clear answers in interviews help the most.
Yes, the hands-on labs cover IAM access controls, VPC endpoints, KMS encryption, and CloudWatch logging to help you understand AWS security in practice.
Yes. You’ll compare model prices, try smaller models, and look at batch inference, prompt caching, and provisioned throughput.
S3, Lambda, API Gateway, DynamoDB, OpenSearch Serverless & CloudWatch. Real Bedrock projects use most of these.
Bedrock has model evaluation tools, and you can add human review on top. We also show you how to put together a small test set of your own queries.
Contact GoLogica through the website or phone & ask for a demo class. The team will send you batch dates and fee details.
Why GoLogica?
10+
Years of Experience
250+
Corporate Clients
750+
Courses
50K+
Careers Transformed
Yes, it is Possible. GoLogica provides a fast-track Classes so you can complete a training within a few days or a week and get a certification.
To attend online training, you'll typically need a stable internet connection, a compatible device (laptop, tablet, or smartphone), and a suitable web browser or training software.
Check your training platform's storage or cloud (drive) for saved video recordings.
Discounts may vary; inquire directly for specific offers.
Visit GoLogica website, locate the 'Certificates' section, follow the instructions to verify your course completion by completing the exam and Get more than 70% marks. And download your certificate.
I'll guide you through the certification process step-by-step, ensuring you're well-prepared and confident in your subject matter by clearing an exam.
Yes, we help you on a Craft a compelling resume by highlighting your skills, experiences, and achievements in a clear, concise, and well-structured format.
Yes, we do placement assistance after completing a training and clearing eligibility test.
Our mock interviews process involves practice sessions, feedback, and role-playing to enhance candidates' communication skills and confidence in a concise, single-line summary:
"Practice + Feedback = Confident Interview Readiness."
The refund policy terms and conditions may vary; please refer to the specific seller or provider for details. Go to Refund Policy »
Yes, discuss payment terms with the Seles team and Get a potential instalment options.
Yes, you will find EMI options for fee payment.
Get in Touch to our team by filling a required details.
GoLogica certification holds value for those seeking to learn and validate their skills in Logic Apps all over the world.
Yes, GoLogica offers opportunities to work on live projects, enhancing your practical skills and experience.
Our trainers are highly experienced in respective Field and implementing real-time solutions on different Scenarios and Expert in their professionals.
We record each LIVE class session you undergo through this training and recordings of each session class will be updated in your Cloud.
Yes, access online course materials through learning platforms or the institutions or a GoLogica website.
GoLogica have a 10+ year’s good track record in the training market. However, it was founded in 2013.
Yes, we help you on a Craft a compelling resume by highlighting your skills, experiences, and achievements in a clear, concise, and well-structured format.
Self-paced training allows learners to study at their own speed, while Live Online training offers real-time, interactive sessions with an instructor.
Self-paced learning offers flexibility, personalized progress, and the ability to review materials at your own convenience.
Live online training offers real-time interaction, immediate feedback, and networking opportunities, which self-paced learning lacks.
Yes, GoLogica allows you to transition from self-paced to instructor-led training as per your preference T&C apply.
Yes, customize GoLogica curriculum as per your needs. Our Goal is to satisfy and give an enough knowledge to students.
Timetable flexibility depends on the institution and availability; inquire for options.
Yes, depending on program flexibility. Communicate with the organizers for options.
Consult your training contract for withdrawal terms, prioritizing mutual understanding.
Yes, we offer a Demo Session to confirm your enrolment session details for live training.
Yes, the trainer will help you with your queries during the training and as well as in discussion class.
Practice consistently, apply learned skills in real-life scenarios, and seek feedback for improvement.
Yes, we can provide trained resources for hire upon request.
Self-paced videos can be classified into beginner, intermediate, advanced, and expert levels.
Yes, we can consider extending access for pre-recorded sessions.
Yes, customizable live training allows for scheduling flexibility and tailored curriculum.
Yes, we conduct assessments and also some mock test for better understanding along with discussion call.
Yes, we offer a certification and it is highly valuable in market
Yes, you can but just Inquire about extension options post-training.
Yes, post-training consultations can be arranged upon request.
Our trainers are highly experienced in on specific subject matter to teach and uses by real-time solutions on different Scenarios and Expert in their professionals.
You can access the recording of the missed class through our LMS. We record each training session and upload it after the session to our LMS which can be accessible to the students.
You can clarify your queries by dialling +91 - 82 9696 0414, +1 (646) 586 - 2969 Or you can send a mail to info@gologica.com. We are ready to clear your enquiries at any time
I had experience with basic AWS services but wanted to explore its newer AI offerings. Learning about Bedrock, foundation models, and model customization helped me expand my understanding of the AWS ecosystem.
Harish Babu
I had been working with AWS infrastructure and wanted to understand how generative AI could fit into my existing technical responsibilities. Exploring Amazon Bedrock gave me a new way to look at cloud-based application development.
Ajay Krishna
Understanding the architecture behind AI-powered applications was my main reason for choosing this course. I gained exposure to how Bedrock services could fit into scalable application designs and support different enterprise requirements.
