Create AI That Reasons and Acts: 5 Generative and Agentic AI Programs

Do you want to improve your artificial intelligence (AI) skills? If yes, then you have landed on the right page. In this blog, we discuss generative AI, which helps create text, images, summaries, and other content, and agentic AI, which can plan tasks, use tools, and take action toward a defined goal.

If you are a student or working professional, having an understanding of these technologies will help you explore new opportunities in your chosen field.

Read further to get an in-depth understanding of the same.

Course Comparison Table

1. Certificate Program in Agentic AI – Johns Hopkins University

Agentic AI is a new field of AI. It is about systems that can move towards a goal, take steps, and use tools. The Certificate Program in Agentic AI from Johns Hopkins University is suitable for working professionals. The course will allow them to boost their skills and understanding of the potential applications.

With an agentic AI certification, one can learn about this emerging area and integrate AI as part of routine activities. Besides, learners can get reliable outputs from AI models with effective prompting.

• Delivery and Duration: Online; 18 weeks
• Credentials: 13 CEUs from the university.
• Programme Highlights: Agentic AI concepts, AI agents, task automation, and practical applications, subject to the current syllabus.
• Result: Learners can understand agentic AI. They can explore its role in business and technology.

Why It Stands Out

• The Course emphasizes the emerging area of agentic AI.
• It is best for professionals who want to know about AI applications.
• Allows students to appreciate the potential of an AI system to achieve the goals.
• Provides a chance to learn in a recognised University course.
• Real world projects and case studies.

2. No-Code Generative AI and Agentic AI – Johns Hopkins University

The No-Code Generative AI and Agentic AI programme from Johns Hopkins University is also a useful course. It allows students to learn GenAI, Prompt Engineering, RAG, workflow automation, etc.

No code generative AI helps business professionals, content teams, entrepreneurs, and beginners explore AI tools. With the help of Generative AI, we can produce content and use the information. Agentic AI makes coordination of multiple steps easier and smoother.

By doing this course, learners can understand both areas equally well.

• Delivery and Duration: Online; 12 weeks
• Credentials: 9 CEUs from the university.
• Programme Highlights: No-code AI applications, generative AI, agentic AI concepts, and workflow automation, through hands-on projects.
• Learning Outcomes: Learners can explore new ways of integrating AI tools.

Why It Stands Out

• Suitable for learners who prefer low-code or no-code approaches.
• Combines two important areas of AI.
• Can help business teams explore workflow automation.
• Makes AI learning more accessible to non-technical professionals.
• Helps know AI principles, risks, ethics, and compliance challenges

3. Generative AI with Large Language Models – DeepLearning.AI and AWS

Large language models (LLMs) are an important part of modern generative AI. They can understand language, answer questions, remember information, and generate written content. The Generative AI with Large Language Models course from DeepLearning.AI and Amazon Web Services also helps you stay updated with the latest technology.

• Mode of Delivery: Online; takes almost 3 weeks
• Credentials: Certificate option with the learning platform.
• Programme USPs: LLM architecture, generative AI, fine-tuning, model evaluation, and deployment.
• Results: Learners can develop a clearer understanding of how large language models are developed and used.

Why It Stands Out

• Explains the technology behind generative AI.
• Covers key stages in the LLM development process.
• Connects theoretical concepts with practical applications.
• Suits learners interested in the technical side of AI.

4. AI Agents in LangGraph – DeepLearning.AI

Building an AI agent is more than generating a response to a query. An agent has to remember information, decide what to do next, use external tools, and complete a sequence of tasks. AI Agents in LangGraph is a short course for learners interested in understanding how agent-based applications can be developed.

LangGraph is a framework used to build applications with multi-step workflows and AI agents. If you have a technical background, this course will help you organise an agent’s actions and manage difficult interactions easily.

• Delivery and Duration: Online, short, self-paced course.
• Credentials: Refer to the learning platform for the latest information.
• Programme Highlights: AI agent workflows, tool use, agent design, and multi-step execution.
• Learning Outcomes: Basic concepts are explained easily. Learners can understand how frameworks support agentic applications.

Why It Stands Out

• The course focuses on practical AI agent development.
• Introduces tools for creating multi-step AI workflows.
• Helps learners explore agent design beyond simple prompts.
• Can complement foundational knowledge of generative AI.

5. Generative AI for Everyone – DeepLearning.AI

As a beginner, knowing generative AI can help a lot in exploring more advanced agentic systems. Generative AI for Everyone introduces the technology, its abilities, limitations, and how it can be applied across various industries.

The course further explains the way generative AI works, what it can do, and how it can be used by businesses. It also discusses practical considerations, including responsible AI use and the impact of these tools on work. Learners do not need an advanced technical background to explore the subject.

• Mode of conduct: Online, approximately three weeks at a flexible pace.
• Credentials: Certificate option through the learning platform.
• Programme USPs: Generative AI fundamentals, real applications, limitations, responsible use, and business opportunities.
• Result: Learners can know the uses of generative AI. They can also understand the ways to evaluate opportunities.

Why It Stands Out

• Best for beginners and individuals with a non-technical background.
• Easily explains AI concepts.
• Includes business applications and key areas.
• Lays the foundation for advanced AI programmes.

Final Words

Hope you now know about the gen AI course. So, refer to the official website to get an in-depth understanding of the course.

As AI is evolving continuously, Gen AI courses will become more helpful in the coming years, allowing learners to know the emerging tools, develop relevant skills, and identify practical ways to use AI in their professional lives.