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Master CATCertified Practitioner concepts for Beginners
Master CATCertified Practitioner and Real-World AI Projects
5.08 reviews70 learners
- All Levels
- 125h 8m video
- 166 lectures
- English
- Captions
- Updated 2026
Taught by Nageswararao Koneti
- 125h 8m of on-demand video
- 166 lectures across 17 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
17 sections166 lectures125h 8m total
- Introduction59:46
- Cluster Reaction Creation18:42
- Custom Resource management services35:14
- Docker GTS files39:27
- Elastic Cloud Computing19:18
- Elastic Search Terminology35:29
- Field selection38:17
- Integrate with RDS34:31
- Local EC2 Instance Setup29:55
- Metric API Server Instances30:34
- Spring boot APIs33:09
- Test Container Configuration1:04:09
- Config Cluster APIs36:26
- Creating AMI in AWS38:02
- Deployment in Clusters35:20
- Elastic Token Filters47:02
- Field Position Values30:10
- Integration Test APIs47:16
- Metric Aggregations41:02
- Query methods1:07:25
- Resource Cleanup29:56
- Service Container APIs1:26:32
- API Inventory Services58:41
- Build Codepipelines1:06:42
- Config Resource Properties1:01:52
- Deployment Cluster Services45:41
- Elastic Container Service1:23:55
- Git Hub and CICD Pipelines42:51
- Inventory data Services38:24
- Processor Integration42:28
- Resource Storage32:32
- Sender Options42:43
- Access Key to the Groups46:42
- Cluster Optimistics33:28
- Config in Resource Manager1:08:11
- Continues Integrations28:14
- Dynamic Cluster Persistance55:22
- Fetch Data records with SQL46:47
- Master Election and node Elastic50:36
- Record data to fetch32:42
- Search API Implementation1:08:58
- Search Query with DML50:10
- API Management Deployment18:31
- API Project Setup44:56
- Cloudfront Logs41:58
- Clustering and Sharding40:09
- Console Service APIs59:46
- Docker Grid Files37:13
- Index operators57:17
- Multi Pods Containers39:22
- Replica Application Sets1:10:29
- Spring Cloud Streams30:46
About this course
Take your Artificial Intelligence skills to the next level by mastering CATCertified Practitioner through hands-on, real-world projects. This comprehensive course is designed for beginners, software developers, IT professionals, students, and AI enthusiasts who want to build intelligent, autonomous AI applications using Python and the latest AI technologies. You'll begin by learning the fundamentals of Python programming, Large Language Models (LLMs), prompt engineering, embeddings, and Generative AI. As your know…
Before you start
- No need to have any experience at all
Who it’s for
- It is for anyone who wants to master Agentic AI and Generative AI from basics to Advanced
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