Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.
The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.
Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value
By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.
Course Objectives:
•MLOps Principles: Model life cycle management for scalable, production-ready AI •Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives •AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization •AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions •Change Management: Workforce enablement and stakeholder alignment •KPI Development: AI metrics, success indicators, and executive dashboards •AI Governance: Risk, ethics, compliance, and responsible AI principles •Vendor Evaluation: AI platform and tool selection aligned with enterprise needs
Dates/Locations:
No Events
Prerequisites:Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.
Every programmer must keep up with the latest tools and techniques. This course will help you push your skills to the next level and become a more accomplished programmer. Advanced PERL Programming teaches you all the complex techniques for production-ready PERL programs and explains concepts such as introspection, overriding built-ins, extending PERL's OO model, and testing your code for greater stability.
Attendees to P-415: Advanced PERL Programming will receive TechNow approved course materials and expert instruction.
This course provides students with the knowledge and skills to implement a Microsoft SQL Server database. The course focuses on teaching individuals how to use SQL Server product features and tools related to implementing a database.
Attendees to MS-6232: Implementing a Microsoft SQL Server Database will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Creating Databases and Databases Files
Creating Data Types and Tables
Creating and Tuning Indexes
Implementing Data Integrity by Using Constraints and Triggers
Using XML
Implementing Views
Implementing Stored Procedures
Implementing Functions
Implementing Managed Code in the Database
Managing Transactions and Locks
Using Service Broker
Prerequisites:
Basic knowledge of the Microsoft Windows operating system and its core functionality
Working knowledge of Transact-SQL
Working knowledge of relational databases
Some experience with database design
Comments
Latest comments from students
User: bangbangsplat
Instructor comments: some kind of presentation would have been helpful in learning the objectives of the course (PowerPoint, drawing on easel, etc.) It seemed like the instructor is not too familiar with the error codes we were receiving during the Practice Exams.
Facilities comments: preferred to have the location located in a less busy area of the city
User: smaxam
Instructor comments: Clay was very knowledgable but had to repeat questions a number of times to get his attention.
Getting started with the Elastic Stack (ELK), optimizing search performance and building efficient clusters. Ingest and process data, writing complex search requests and response utilization, scaling of clusters up or down, managing indices in large clusters and multiple clusters, management of clusters and troubleshooting recommendations.
Attendees to TN-430: Elasticsearch Engineer (ELK) will receive TechNow approved course materials, expert instruction, and prepare you to take ELK exam.
Dates/Locations:
No Events
Duration: 5 Days
Course Outline:
Data Management
Define an index that satisfies a given set of requirements
Define and use an index template for a given pattern that satisfies a given set of requirements
Define and use a dynamic template that satisfies a given set of requirements
Define an Index Lifecycle Management policy for a time-series index
Define an index template that creates a new data stream
Searching Data
Write and execute a search query for terms and/or phrases in one or more fields of an index
Write and execute a search query that is a Boolean combination of multiple queries and filters
Write an asynchronous search
Write and execute metric and bucket aggregations
Write and execute aggregations that contain sub-aggregations
Write and execute a query that searches across multiple clusters
Write and execute a search that utilizes a runtime field
Developing Search Applications
Highlight the search terms in the response of a query
Sort the results of a query by a given set of requirements
Implement pagination of the results of a search query
Define and use index aliases
Define and use a search template
Data Processing
Define a mapping that satisfies a given set of requirements
Define and use a custom analyzer that satisfies a given set of requirements
Define and use multi-fields with different data types and/or analyzers
Use the Reindex API and Update By Query API to reindex and/or update documents
Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
Define runtime fields to retrieve custom values using Painless scripting
Cluster Management
Diagnose shard issues and repair a cluster’s health
Backup and restore a cluster and/or specific indices
