5 courses to take when starting out a career in Agentic AI
This will help you join the early train of experts who are using AI agents to solve real world problems.
Artificial intelligence (AI) is evolving rapidly, transforming industries and reshaping how we interact with technology. In particular, it has revolutionized customer service, where long wait times for order updates or service requests were once the norm. Today, however, the emerging trend of Agentic AI—autonomous AI agents designed to perform tasks efficiently by making independent decisions, and adapt to changing situations without constant human intervention—has drastically reduced these delays, enhancing customer service and operational processes.
A clear example of this shift can be seen in a recent Statista report, highlighting growing consumer interest in conversational AI. This surge in demand is creating new opportunities for professionals equipped with the right skills. If you’re considering a career in this innovative field, the following five courses will provide a solid foundation when starting a career in Agentic AI.
David Adubiina
5 courses to take when starting a career in Agentic AI
1. Introduction to AI and Machine Learning
Understanding the basics of AI and machine learning is essential before diving into specialized applications, especially since Agentic AI heavily relies on these algorithms to automate decision-making. Coursera’s Introduction to AI and Machine Learning course on Google Cloud is a great place to start. This 3-week course is free to audit, with a certificate available for $39. You’ll gain foundational knowledge in supervised and unsupervised learning while exploring generative AI and building ML models. In addition, practical applications and case studies will help you connect theory to real-world scenarios.
2. Natural Language Processing (NLP) Specialization
Since Agentic AI often handles conversational tasks, gaining expertise in natural language processing (NLP) is crucial. The NLP Specialization by DeepLearning.AI on Coursera offers a comprehensive deep dive over three months. For $39 per month, you can explore sentiment analysis, text classification, and translation topics. The course also covers advanced models like BERT and GPT, equipping you to build and deploy conversational agents effectively.
3. Building AI Agents with Reinforcement Learning
Reinforcement learning (RL) is pivotal for training AI agents to make decisions in dynamic environments. This makes it a must-learn skill for Agentic AI development for those seeking a comprehensive knowledge of AI agents. The Deep Reinforcement Learning Nanodegree by Udacity is an excellent choice. Over the course of four months, at $212/month with 55% discount payment options), you’ll implement RL algorithms from scratch and train agents to solve complex tasks. Moreover, you’ll explore applications in robotics, gaming, and finance, thereby adding versatility to your skill set.
4. Introduction to Large Language Models (LLMs)
With the rise of Agentic AI, understanding Large Language Models (LLMs) is essential since these models power many conversational and task-based AI systems. Coursera offers a Large Language Models (LLMs) course as part of its AI specialization. This course provides a comprehensive overview of what LLMs are, and their use cases, making it ideal for those interested in building Agentic AI solutions.
The course also covers Google’s GenAI Development tools for AI usage and handling challenges, such as bias and model drift. You can audit the course for free.
5. LLM-powered AI agents with LangGraph
Finally, mastering the end-to-end process of building, training, and deploying AI agents is essential for anyone pursuing a career in Agentic AI. The LLM-powered AI agents with LangGraph course on Udemy is a practical, hands-on guide. Priced at $8.89(with 47% discounts), this six-hour course covers everything from architecting multi-agent systems to deploying them in cloud environments. You’ll also learn end-to-end working LangGraph-based generative AI agents, enabling you to build versatile AI solutions.
Conclusion
With the AI market expected to reach $826 billion in 2030, starting a career in Agentic AI early enough can help you develop the knowledge and tools needed to be a top player in this emerging field and position yourself competitively in a job market that increasingly values AI proficiency.
You can take advantage of the curated course in this guide to start your career goals and begin your journey into the exciting world of autonomous AI systems.
