Course Overview
The AI+ Agent certification validates your ability to use AI tools and technologies to solve real business problems. You learn how to apply AI-driven decision-making, understand natural language processing, and grasp core machine learning concepts so you can integrate intelligent solutions into different professional environments. This certification also equips you with practical skills for implementing AI strategies, optimizing workflows, and driving innovation in your organization. By earning it, you demonstrate strong proficiency in AI technologies, strengthen your credibility, and expand your career opportunities in today’s rapidly evolving tech landscape.
This certification will cover the following topics:
- Introduction to AI Agents
- Core Concepts and Types of AI Agents
- Tools for Non-Coders
- Building Simple Agents
- AI Agent Builder
- Integration, Application Mapping & Deployment
- Monitoring, Guardrails & Responsible AI
- Capstone Project – Design Your Own Intelligent Agent
Who should attend
- Business Professionals Seeking AI Integration – Ideal for those looking to incorporate AI tools into everyday workflows.
- Tech and IT Practitioners – Suited for individuals aiming to expand their technical skill set with AI-driven capabilities.
- Data and Analytics Enthusiasts – Perfect for those interested in enhancing their analytical work with intelligent automation.
- Innovation and Strategy Leaders – Beneficial for professionals driving digital transformation and organizational innovation.
- Career Changers Entering AI – A strong fit for anyone transitioning into AI-focused roles and needing foundational, practical expertise.
Prerequisites
- Basic Understanding of AI Concepts – Familiarity with foundational AI principles and terminology.
- Programming Knowledge – Proficiency in Python or a similar programming language.
- Data Analysis Skills – Ability to interpret, clean, and manipulate datasets effectively.
- Problem-Solving Mindset – Strong analytical thinking to address AI-related challenges.
- Familiarity with Machine Learning – Understanding of common ML algorithms and techniques.
Course Objectives
- Learn to Build Intelligent Agents – Develop a strong understanding of creating and deploying AI agents using no-code and low-code platforms.
- Grasp Real-World AI Applications – Apply agent-based solutions to practical use cases such as personal assistants, customer support, and sales automation.
- Develop Workflow & API Integration Skills – Gain hands-on experience integrating APIs, managing workflows, and connecting essential system components.
- Apply Responsible AI Principles – Understand and implement ethical, secure, and responsible AI practices throughout the agent-building process.
- Equip Yourself to Automate & Scale – Gain the capability to automate tasks, solve complex problems, and build scalable AI-driven systems across industries.
Course Content
- Introduction to AI Agents
- Core Concepts & Types of AI Agents
- Tools for Non-Coders
- Building Simple Agents
- AI Agent Builder
- Integration, Application Mapping & Deployment
- Monitoring, Guardrails & Responsible AI
- Capstone Project – Design Your Own