🚀 Launch Your Career in Agentic AI – Build Real AI Tools in Just 8 Weeks!
Agentic AI Project Experience & Build Program (8 Weeks)
A structured hands-on learning and project experience program designed for developers, IT professionals, students, and AI enthusiasts interested in building modern AI automation workflows and intelligent AI agents using real-world tools and APIs.
📌 Program Structure
🔹 Phase 1: Agentic AI Workflow Development with n8n (Weeks 1–4)
Learn how modern AI automation systems and AI agents are designed using industry-relevant tools and integrations.
Participants will gain exposure to:
• n8n AI workflow automation
• Gemini AI models
• LinkedIn API integrations
• Lusha-based enrichment workflows
• SerpAPI search automation
• AI-driven workflow orchestration
• Agentic AI concepts and practical implementations
🔹 Phase 2: AI Project Build & Deployment (Weeks 5–8)
Participants will work on building an end-to-end AI project and gain exposure to deployment workflows within the TraceSecure innovation environment.
By the end of the program, participants may have:
✔ A portfolio-oriented AI project
✔ Hands-on AI workflow experience
✔ Exposure to real-world AI automation concepts
✔ Practical understanding of AI agent development
🎯 Potential Career Pathways
This program is intended to help participants strengthen skills relevant to emerging AI-related roles such as:
• AI Automation Engineer
• Agentic AI Developer
• AI Workflow Engineer
• AI Integration Specialist
• Prompt Engineering Associate
• Automation Consultant
• AI Product Builder
• LLM Application Developer
📍Who May Benefit from This Program
✔ Software Developers
✔ IT Professionals
✔ Automation Engineers
✔ Students exploring AI technologies
✔ AI & Data Enthusiasts
✔ Professionals interested in AI workflow automation
💡 Why Join This Program?
✅ Hands-on exposure to Agentic AI workflows
✅ Practical AI automation projects
✅ Exposure to APIs, LLMs, and workflow orchestration
✅ Portfolio-oriented project experience
✅ Structured mentor-guided learning environment
📩 To Learn More
Send your updated resume/profile to:
sushma@sapsol.com
Selected participants will be contacted with additional program details and next steps.
Limited cohort size to support interactive learning.
Create AI-generated visuals and videos for social advertising and R&D, selecting and integrating suitable AI tools, refining prompts, adapting creative to campaign goals, and collaborating across creative and marketing teams.
Contribuez à industrialiser des prototypes d’IA en modules Python robustes et intégrables à Mia-Discovery, en travaillant sur le refactoring, les tests, les pipelines CI/CD, la documentation et l’analyse de code.
Évaluez des outils d’IA dédiés au développement applicatif en comparant leurs capacités et en créant une application web avec quatre solutions, puis formulez des recommandations sur leur qualité et leur déploiement.
Develop and test machine learning models for business applications, prepare and analyze datasets, and support the deployment and monitoring of AI solutions in collaboration with engineers and stakeholders.
Support AI engineering projects by interpreting technical drawings, processing engineering data with Python, and testing LLM- and RAG-based solutions against technical documentation.
