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AWS Certified AI Practitioner
Professional Certification in AI
We offer instructor-led online live virtual training and physical classroom training delivered by certified trainers and experienced industry professionals
- Get Up to 25% discount
AWS Certified AI Practitioner Course in Kolkata with Placement Support
AWS Certified AI Practitioner
Job-Oriented Training with Placement Support
By CloudNet Institute of Information Technology Pvt. Ltd., Kolkata
Course Overview
The AWS Certified AI Practitioner program by CloudNet India, Kolkata is a comprehensive, beginner-friendly and industry-aligned training designed to build a strong foundation in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI using Amazon Web Services (AWS).
This course prepares learners to understand AI/ML concepts, identify appropriate AWS AI services for real-world business use cases, and confidently clear the AWS Certified AI Practitioner (AIF-C01) certification exam. Along with certification readiness, CloudNet provides job-role focused training, hands-on labs, real-world use cases, and dedicated placement support.
Who Can Join
- Fresh graduates (Any stream)
- Non-technical & technical professionals
- IT support, networking, cloud & DevOps professionals
- Data analysts, software testers, developers
- Working professionals looking to move into AI & Cloud roles
- Entrepreneurs & managers seeking AI adoption knowledge
No prior AI or programming experience required
Job Roles After Completion
- AWS AI Practitioner
- AI / ML Cloud Associate
- AI Support Engineer
- Cloud AI Consultant (Entry-Level)
- Pre-Sales / Solution Consultant (AI & Cloud)
- AI Operations / AI Analyst (Junior Level)
Why Enroll for AI Training at CloudNet India, Kolkata?
Key Skills You Will Gain
- AI, ML & Generative AI fundamentals
- Understanding of AWS AI & ML services
- Prompt engineering basics
- Responsible & ethical AI practices
- AI use-case identification for business
- Cloud-based AI deployment concepts
- Exam-ready knowledge for AWS AIF-C01
Course Duration & Mode
- Duration: 40–50 Hours
- Mode: Classroom (Kolkata) / Live Online
- Hands-On: AWS Console Labs & Demos
- Certification: AWS Certified AI Practitioner (AIF-C01)
- Placement Support: Yes
Tools & Services Covered
- AWS Console
- Amazon SageMaker
- Amazon Bedrock
- Amazon Rekognition
- Amazon Comprehend
- Amazon Lex
- AWS AI/ML APIs
What You Will Receive
- Instructor-led training by AWS-certified trainers
- Hands-on labs & demos
- Study materials & notes
- Mock tests & exam guidance
- CloudNet course completion certificate
- Dedicated placement support
- Interview preparation sessions
Why Choose CloudNet India, Kolkata
- Established IT training institute since 2012
- 10,000+ students trained
- 8,000+ corporate & government professionals trained
- Industry-aligned curriculum
- Real-world use cases & job-oriented approach
- Strong placement & career support
Certification Target
AWS Certified AI Practitioner (AIF-C01).
Key Features
You will get 100% job Assurance and life time e-placement support
classed taken by globally certified trainers
You will get 3 year Dedicated placement support
Courses are globally recognized & accredited
Course Type:
Certification Training Program
Live virtual classroom:
16,000/-
20,000/-
Regular classroom:
16,000/-
20,000/-
- Duration:
40 Hrs. / 2 Months
- Enrolled:
37 Learners
- Eligibility:
10+2 /Any Graduate
- 5 Star:
21 Reviews
AWS Certified AI Practitioner Training Kolkata
Module 1: Introduction to Artificial Intelligence
- What is Artificial Intelligence?
- Evolution of AI
- AI vs ML vs Deep Learning
- Narrow AI vs General AI
- AI in real-world applications
- AI trends in cloud computing
Module 2: Machine Learning Fundamentals
- What is Machine Learning?
- Types of ML:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Common ML algorithms (conceptual)
- Training vs inference
- Model lifecycle overview
Module 3: Deep Learning & Neural Networks (Conceptual)
- What is Deep Learning?
- Neural networks basics
- CNN, RNN overview
- Large Language Models (LLMs) basics
- Use cases of deep learning
Module 4: Generative AI Fundamentals
- What is Generative AI?
- Text, image, audio, and code generation
- Foundation models
- Use cases: chatbots, content generation, summarization
- Generative AI in business
Module 5: Introduction to AWS Cloud for AI
- AWS global infrastructure
- AWS shared responsibility model
- IAM basics for AI services
- Regions, availability zones, pricing basics
- AI service selection strategy
Module 6: AWS AI Services Overview
- AWS AI services categories:
- Vision
- Language
- Speech
- Chat & Generative AI
- Pre-trained vs custom AI models
- Managed AI services benefits
Module 7: AWS Machine Learning Services
- Amazon SageMaker overview
- Model training & deployment concepts
- AutoML with SageMaker
- Model monitoring basics
- ML workflow in AWS
Module 8: AWS Generative AI Services
- Amazon Bedrock
- Foundation models in AWS
- Prompt engineering basics
- Use cases with Bedrock
- Responsible use of Generative AI
Module 9: Responsible AI & Security
- AI ethics & bias
- Data privacy considerations
- Explainable AI concepts
- Security in AI workloads
- Compliance & governance basics
Module 10: AI Use-Case Identification & Business Value
- Identifying AI opportunities
- AI in healthcare, finance, retail, education
- Cost vs value assessment
- AI solution mapping using AWS services
- ROI of AI projects
Module 11: Exam Preparation – AWS Certified AI Practitioner
- AWS AIF-C01 exam overview
- Exam domains & weightage
- Sample exam questions
- Exam strategies & tips
- Mock tests & revision sessions
Module 12: Career & Placement Preparation
- AI career roadmap
- Resume & LinkedIn optimization
- Interview questions (AI & AWS)
- Certification guidance
- Placement assistance & referrals
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