AI Solutions Implementation Course for Organizations
A comprehensive and professional course that provides comprehensive training on the implementation of AI / BI solutions for organizations and businesses
Next cycle
10/10/2023
Academic hours
100 hours
Number of meetings
24 sessions
About AI Assimilator Course
Today, there is no business, government or organizational entity that is not examining the possibility of implementing solutions and processes at the core of its ongoing operations.
In
Horizon Labs’
AI Implementation for Organizations course, you are going to learn how to implement AI-based solutions for your organization or business, in a complete process from A to Z from the characterization stage,
Identification of organizational processes that can be improved and optimized using AI, planning the implementation process, performing the actual implementation (technical work), and performing tests and feedback.
The course prepares for a new profession called AI assimilator.
Who is it for?
CIOs and IT professionals
BI Integrators
Technically oriented
System characteristics
Admission Requirements
1. Pronounced technological orientation
2. Experience/background in assimilation or characterization of systems
Course format
20 evening sessions
One session per week
Meeting hours 17:30-21:30
Online/in-person format
Prerequisites
- Personal interview
- Send CV
Why learn to be an AI implementer?
The AI revolution has led to the introduction of generative AI tools into our lives.
The technology is still considered early and still in its infancy, but is already generating great interest among organizations, businesses, industries and governments around the world.
AI assimilator is a necessary profession with a future for many years to come that will serve many organizations and businesses around the world.
This is the profession of the future.
Is this profession right for you? It is recommended to talk to an occupational-academic counselor first and find out.
Feel free to leave your details and we will get a consultant back to you:
Employment opportunities in the field
AI Implementer
Average salary: 15K-23K₪
AI Implementer His role is to identify problems, goals or organizational processes that can be streamlined or improved using artificial intelligence, characterization and planning of the implementation process, and implementation of the actual solution using technological tools
Information Systems Analyst
Average salary: 14K-22K₪
A systems feature with an AI background finds, characterizes architecture, and optimizes AI-based systems. His job includes modeling, data processing, algorithm pronunciation, and understanding the connections between information to create smarter systems.
Technology Consultant
Average salary: 14K-21K₪
An expert who provides advice to organizations on technology and AI issues. Diagnoses, implements and upgrades technological systems and processes, market research for existing solutions, while maintaining technological progress and focusing on performance optimization
Data taken from current salary tables for 2023: Manpower Salary Table 2023 | Job Site Salary Table 2023 | JobInfo Salary Table 2023
Curriculum (syllabus)
The course’s curriculum includes theoretical studies, an overwhelming majority of practical experience and connection with colleagues and other officials from the same field
Introduction to AI and intelligence types
Models and automations
Enterprise AI and APIs
Training and accuracy of models
Accessibility and ongoing maintenance
Module |
subject |
description |
Hours |
1 |
Types of models in artificial intelligence |
Familiarity with the main types of models (computer vision, feed forward, regression, etc.) |
5 |
2 |
Planning and managing AI projects |
Visual characterization of project implementation, including stages, allocation of roles and resources, risk assessment and time management and communication + project, characterization of internal organizational processes that can be improved using AI and their breakdown into factors |
5 |
3 |
AI-integrated automations |
Connecting automation processes using internal and external systems (such as Zapier) for easy implementation of AI-based solutions. |
20 |
4 |
Open source LLM’s |
Familiarity with open source language models that can be implemented internally at no cost |
5 |
Other AI models |
|
5 |
|
5 |
Development of internal APIs |
Accessibility of internal organizational language models by developing APIs for the various departments in the organization from the AI as a service concept. Characterization, planning, construction and accessibility of internal APIs and granting access and permissions to various departments as needed |
20 |
6 |
Implementing In-House Chatbots |
Quickly implement trained chatbots on internal company data
|
15 |
7 |
Using LangChain |
Chaining of promotes, language models and triggers using the LangChain mechanism (similar to the familiar Langchain mechanism – “AutoGPT”) |
15 |
8 |
Teachable Machines |
Methods of cataloging, training and deep learning of data sets using NOCODE technologies including Google & Amazon teachable machines |
20 |
9 |
Artificial intelligence for communication management |
, etc.) |
5 |
10 |
Maintenance of AI applications |
Methods for constantly monitoring and adapting AI systems after implementation, maintenance, updating and support of all enterprise endpoints. |
5 |
- Attendance at 80% of meetings
- Meeting course objectives
- Successful completion of a final project
Course instruction is carried out in person or online according to the course schedule and the training partner.
Course participants will enjoy:
- Entry into a closed community of graduates
- Opportunity to be exposed to potential employers and placement partners of HorizonLabs
- Learning videos and online courses go beyond the course content itself
What do you finish the course with?
Project/Portfolio
Several projects where you can show how you have successfully implemented AI solutions
Network of connections
During the course you will be exposed to colleagues and key people from the industry
Certificate of completion
Final certificate of the "AI Implementer" course by Horizon Labs and its academic partners
Contents
Access to view and study additional recorded sequel content on behalf of the college
Solid knowledge of artificial intelligence
You'll have an entire arsenal of AI solutions for every situation
Faq
The AI implementation course for organizations requires previous technical experience, working with technological systems and a basic understanding of concepts from the IT world.
It is recommended to contact a consultant for a suitability check and a more detailed explanation.
And you can also get information about
the AI Master course for beginners
.
The course lasts about 5-6 months depending on holidays and special occasions
For this course, there is no need for a computer that is too powerful (basic specifications include an i5 processor and a working memory of 8 GB RAM)
As a rule, the course is delivered online.
Frontal training can be held for organizations, for this purpose you must contact us.
Why choose us?
attempt
Existing since 2016.
Operating in over 150 educational institutions and academic partners
technology
Horizon teaches the highest technological edge of technology today
Placement
Studies at Horizon are work-oriented and placement-oriented.
You are not acquiring a course – you are acquiring a profession.