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Enterprise AI Implementation Specialist 

200 Hours / 4 Months, Part Time Program

This part-time Enterprise AI Implementation Specialist Program features expert instruction, hands-on projects, and a real connection to the industry to get graduates hired.

AI is reshaping every industry and every profession. According to the World Economic Forum, 92 million jobs may disappear, and 170 million new roles are expected to emerge by 2030. The need to implement AI in large organizations is imminent and meaningful: AI implementation specialists are needed to make sure that employees and companies benefit from AI while safeguarding data.

Wawiwa’s reskilling program prepares participants to become job-ready Enterprise AI Implementation Specialists – professionals capable of leading AI adoption in the business from functional diagnosis to actual deployment.

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Deep Focus on the Most Needed Expertise in Tech

Graduates will become indispensable to organizations by bridging business needs with AI solutions across the enterprise. They’ll design, implement, and optimize AI workflows, systems, and integrations that drive smarter decisions and business impact.

Open Doors With Industry Connections

Equip students to succeed in a rapidly expanding field with help from our network of AI experts, instructors, hiring partners, and alumni. The Enterprise AI Implementation Specialist curriculum was created in collaboration with the industry’s leading companies to make our programs as relevant as possible to the local industry’s needs, assuring graduates will be job-ready as soon as the program ends.

Guide Students to Deliver a Professional Project

Throughout the program, participants gain practical experience by completing large-scale projects that reinforce the concepts and tools learned in each module. They diagnose organizational needs, identify high-impact AI opportunities, and design end-to-end enterprise AI solutions. They build AI workflows, assistants, or agentic systems, while applying architecture, security, and governance best practices. They also use AI tools throughout the process to design and prototype solutions faster and more effectively. The program culminates in a final project, where participants deliver a complete enterprise AI solution – including diagnosis, architecture, a working prototype, governance framework, ROI model with KPIs, and an executive presentation and demo.

Who Is the Program For?

  • Business analysts
  • IT professionals
  • Operations managers
  • Digital transformation leaders
  • Consultants
  • Tech-savvy professionals transitioning into AI roles
No prior coding background is required!
* All candidates take a computerized assessment to ensure that they have the right personality, as well as the basic math and logic skills, to complete the programs and be successful in their future jobs.

How the Program Works

200 total learning hours designed for skill-building:

  • 150 academic hours – live classes with an expert instructor and guided practice
     
  • 50 independent project work hours – hands-on practice and real-world project development to apply and reinforce learned skills

We Develop the Soft Skills that
Enterprise AI Implementation Specialists Need

Technical skills matter just as much as soft skills for an Enterprise AI Implementation Specialist. You need both to succeed.

Problem-solving

Looking at challenges with a clear mind and finding practical ways to move forward

Teamwork

Collaborating with others, leveraging each person’s strengths, and respecting responsibilities

Communication

Explaining thoughts and work simply, asking the right questions, and keeping everyone aligned

Adaptability

Adjusting quickly when priorities, tasks, and tools change, and staying effective through it all

Critical Thinking

Challenging information and assumptions, asking questions, and making sound decisions

At Wawiwa, learners build soft skills naturally throughout the program. Because our training is hands-on, students learn by doing – working in teams, solving real problems, and practicing how professionals operate in real workplaces. This approach helps them develop strong technical abilities and the essential soft skills needed to thrive on the job from day one.

Top Notch Professionals

This unique program was built by a professional team made up of the leading experts in AI, with vast knowledge and experience in training too.

Eran Lasser

CEO of Wawiwa

Eran is a tech education entrepreneur with over 20 years of experience. Eran founded and managed four IT training companies: John Bryce Training (Israel), TRIG (China), JB-IQsoft (Hungary), KocBryce (Turkey). Eran also partnered to establish DAN.IT Education (Ukraine), Techub (Georgia), and more. In addition, Eran managed Mentergy, which provides e-learning and distance learning solutions. Over the years, he was responsible for the reskilling of more than 50,000 individuals now working as tech professionals.

Daniel Anderson

Chief Training Officer

Daniel is responsible for updating state-of-the-art topics in the company’s tech training programs, and for maintaining its training methodologies. Daniel was the Chief Trainer at the Israel Defense Force’s Tech Training Center and is a graduate of the IDF training process. He develops and delivers a wide range of programming courses, and is a Full-Stack Developer and Data Scientist.

Guy Refael Yona

Head of Vibe Coding Course

Guy is a lecturer, innovation leader, and consultant specializing in entrepreneurship, AI, and digital transformation. As head of the innovation center at a leading academic institution, Guy builds programs that connect students and young founders with industry leaders, investors, and tech innovators. Guy holds a Computer Science degree from Ono Academic College.

Program Syllabus

Objective

Build foundations in AI thinking, solution architecture, and implementation planning – even without a technical background.

Topics Covered

  • AI fundamentals for enterprises
  • Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings – practical business implications
  • From business idea to executable AI roadmap
  • Process modeling and workflow mapping
  • Enterprise AI architecture patterns and documentation standards
  • Data flows and integration logic
  • Build vs buy decisions
  • Prompt engineering for structured systems

Hands-On

  • Translate a business case into an AI architecture diagram
  • Design an AI workflow and implementation canvas

Objective

Diagnose organizational needs and identify high-impact AI opportunities across core business functions.

Topics Covered

  • Business diagnostics frameworks and process analysis
  • Use-case libraries by department: Marketing, Sales, HR, Finance, Customer Support, Operations, Product
  • Root Cause Analysis (RCA) and bottleneck identification
  • ROI estimation and prioritization matrix for AI initiatives
  • AI readiness assessment and data sensitivity checks
  • Change management basics for adoption

Hands-On

  • Run a discovery workshop and build an AI opportunity map
  • Create an ROI hypothesis and quick-win shortlist

Objective

Build practical solutions using vibe coding and automation platforms, with enterprise-ready documentation and handoffs.

Topics Covered

  • Automation design patterns (Zapier/Make/n8n) and system thinking
  • Internal assistants and workflow using the leading vibe coding platforms
  • Knowledge assistants fundamentals (RAG when needed)
  • Human-in-the-loop workflows and escalation paths
  • Evaluation basics: tests, edge cases, and quality checks
  • Deployment and documentation for handoff

Hands-On

  • Build an end-to-end automation that improves a real business process
  • Build an internal assistant prototype and document it for deployment

Objective

Design and implement agentic workflows that handle complex tasks reliably and safely.

Topics Covered

  • Agent design patterns and tool usage
  • Orchestration and multi-step workflows
  • Memory, context, and knowledge access patterns
  • Monitoring and evaluation of agent outputs
  • When to use agents vs simpler automation

Hands-On

  • Build a single-agent workflow for a business function use case
  • Extend to multi-agent collaboration with evaluation checkpoints

Objective

Operate AI solutions safely in real organizations with security guardrails, governance, testing, and stability practices.

Topics Covered

  • Zero Trust AI security principles and data handling
  • Prompt safety, injection awareness, and guardrails
  • Testing checklists and evaluation workflows
  • Governance models: committees, policies, and review cycles
  • Operational stability: monitoring, incident basics, and maintenance routines

Objective

Lead adoption inside the organization through stakeholder alignment, champions, rollout strategy, and measurable impact.

Topics Covered

  • Stakeholder mapping and resistance management
  • Building an internal AI champions network
  • Rollout strategy: communications, enablement, and training
  • Adoption and impact metrics
  • Selecting and defining a business use case (e.g., customer support triage bot, HR onboarding assistant, sales outreach pipeline)
  • Designing the end-to-end AI solution: workflow, architecture, and tool selection
  • Building a working prototype: automation, assistant, or AI pipeline
  • Developing an ROI model: cost estimation, value creation, and break-even analysis
  • Preparing a 10-slide executive presentation: problem, solution, impact, and roadmap
  • Delivering a live demo of the implemented solution

What Do Students Have to Say?

"I graduated from the Full Stack Developer program. I strongly recommend this program to everyone, especially to the people who want to change their field. During the program, I had a great experience, with constant support from the kind and highly involved trainers. Shortly after finishing the program, I easily found a job. "
Adnana Muresan
Adnana MuresanFull-Stack Developer (Romania)
"Taking this program during the pandemic helped me make the change into a well-paying job, without having any prior knowledge in the field. The instructors, especially Ana, did a very good job and were very patient. After only seven months , I managed to get hired in a Frontend role. This program is a great place to learn and I highly recommend it!"
Daniel Pădurean
Daniel PădureanFrontend Developer (Romania)
"My name is Florin, and I am a Full-Stack Developer at Nokia. From the start, the program curriculum is very well structured and focuses on hands-on practice and the exact skills needed to get a job. With the help of the three trainers, who showed nothing but professionalism, I managed to get hired by an international technology company. If you are passionate about your career and you want to make change, this is the way to do it. "
Florin Capota
Florin CapotaFull-Stack Developer at Nokia

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Partner with Wawiwa to offer tech training programs in less than 6 months!

Wawiwa bridges the tech skills gap by reskilling people for tech professions in high demand. There are millions of tech vacancies and not enough tech professionals with the relevant knowledge and skills to fill them. What the industry needs of employees is not taught in long academic degrees. Wawiwa helps partners around the world to reskill, and upskill people for tech jobs through local tech training centers or programs. The company utilizes a proven training methodology, cutting-edge content, digital platforms for learning and assessment, and strong industry relations, to deliver training programs that result in higher employability and graduate satisfaction. This, in turn, also creates a strong training brand and a sustainable business for Wawiwa’s partners.
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