Honest GenAI and Multi-Agent Systems Course Experience (2026)

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Himani's Journey From Fresher to Engineer

Starting a career in technology as a fresher can be confusing. There are many technologies to learn, but knowing where to start and which skills can actually help you build a career is not always easy.

For Himani, this was the situation before joining the Coding Ninjas GenAI and Multi-Agent Systems Program. As a fresher, she wanted to build technical skills that were relevant to the changing technology landscape and eventually start her career as an Engineer.

“I wanted to learn something that was relevant to the industry and could help me build the skills I needed to start my career.”

Himani came across the Coding Ninjas GenAI and Multi-Agent Systems Program while exploring her learning options. She wanted to understand the curriculum, the learning process and the kind of career support available before making a decision. After speaking with a counsellor and understanding how the program was structured, she decided to enrol.

This is Himani's experience of that journey, from being a fresher looking for direction, going through counselling and onboarding, learning Generative AI and Multi-Agent Systems, working on projects and using the available support, to preparing for interviews and eventually receiving an offer for an Engineer role.

How It Started For Himani

I was a fresher when I started looking for a course that could help me build my technical skills and start my career in the technology industry.

I knew that I wanted to work in a technical role but I was not completely sure about which skills I should focus on or how I should prepare myself for a job. There were so many technologies and learning resources available that choosing the right direction became difficult.

I did not want to simply complete a course and collect a certificate. I wanted to learn skills that I could actually use and eventually apply during a job.

I also knew that trying to learn everything on my own could become confusing. I needed a structured learning path where I could understand the concepts, practise them and gradually become more confident.

While exploring different career options, I became particularly interested in Generative AI and newer AI technologies. AI was becoming an important part of the technology industry and I wanted to understand more about how these technologies were actually being built and used. Career growth with AI technologies was really good.

That is when I started looking for a structured program in GenAI and Multi-Agent Systems.

How I Came Across Coding Ninjas

I came across Coding Ninjas while exploring different learning options.

Before making a decision, I wanted to understand what I would actually learn during the program. Since I was a fresher, I also wanted to know whether the course would be suitable for someone who was at the beginning of their career.

I went through the curriculum and looked at the topics covered in the program. I wanted to understand how the classes would be conducted, what kind of projects I would work on and what kind of support would be available if I got stuck.

I also wanted to understand what would happen after the learning phase. Getting the technical knowledge was important to me but I also wanted guidance on how I could prepare myself for job opportunities. The counselling conversation Shivansh with helped me understand the course structure, curriculum and career support better.

I was able to discuss my concerns and understand what the overall learning journey would look like before enrolling. This gave me more clarity about what I was signing up for.

After understanding the program and what it offered, I decided to join Coding Ninjas.

Why I Decided to Join

One of the main reasons I decided to join was the focus on Generative AI and Multi-Agent Systems. I did not want to learn AI only from the perspective of using tools such as ChatGPT. I wanted to understand the technology behind AI applications and learn how these applications could actually be built. The structured curriculum was another reason I chose the program.

As a fresher, I did not want to keep jumping between different tutorials and resources without knowing what I should learn next. Having a defined learning path gave me a better idea of how I could progress from the fundamentals to more advanced concepts. I also liked that the program combined technical learning with projects and career preparation.

For me, these things were important because I was not only trying to learn a new technology. I was also trying to prepare myself for my first professional opportunity.

Getting Started With the Course

After enrolling, the onboarding process was my first step into the program. The initial sessions helped me understand what the program would cover and how the different topics would connect with each other. I first had to understand the fundamentals and become familiar with the terminology and technologies that would be used later.

This was useful because when I eventually reached the more advanced topics, I had some context for understanding how they fit into the overall picture. As I attended the sessions and started practising, I gradually became more comfortable with the technical concepts.

Learning GenAI and the Fundamentals

The initial part of my learning journey focused on understanding the fundamentals of Generative AI and the technologies used to build GenAI applications. I started learning about Large Language Models, APIs and how AI models can be integrated into applications.

At first, some of these concepts were new to me and required more effort to understand. There is a difference between using an AI application and understanding what is happening when you actually build an application around an AI model. As I progressed through the curriculum, that difference became clearer.

I also realised that learning GenAI was not just about knowing how to write prompts. There were technical components behind the applications and I had to understand how those components worked together. Regular classes and practice helped me become more comfortable with the concepts. The structured sequence was particularly useful because each topic gave me a foundation for understanding the next one.

Moving From RAG to AI Agents

As I progressed through the program, I started moving beyond the basic GenAI concepts. I was introduced to concepts such as embeddings, vector databases, semantic search and Retrieval-Augmented Generation or RAG.

Initially, these were new terms for me but working through them helped me understand how AI applications can use external information instead of relying only on the information available within a model. RAG was particularly interesting because it helped me understand how an AI application could retrieve relevant information and use it while generating a response. After that, the learning moved towards AI agents and Multi-Agent Systems.

This changed the way I thought about AI applications. Instead of simply asking an AI model a question and getting an answer, I started understanding how an AI agent could be designed to perform tasks and interact with different tools.

Multi-Agent Systems took this further by introducing the idea of multiple agents working together on different parts of a larger task. Learning these concepts helped me see how the different technologies I had studied could come together to build more practical AI applications.

The Support I Used Along the Way

Having different support options available made it easier for me to continue learning instead of getting stuck for too long. I used Ninja AI when I needed help with quick technical doubts or wanted to understand why something was not working. It was useful when I needed a quick explanation and wanted to continue working without waiting too long. For questions where I needed more guidance, I could also use the other learning and mentorship support available through the program.

This support became particularly useful while working on projects because sometimes the problem was not simply about understanding a definition. I needed to figure out how to apply the concept correctly. Over time, solving these problems also helped me become more comfortable with troubleshooting things on my own.

Preparing for Interviews

Learning the technology was only one part of my journey. As I got closer to starting my career, I realised that I also needed to prepare myself for interviews. I was not always confident about explaining my answers or talking about my technical work. Knowing a concept and explaining it clearly during an interview are two different things. I worked on my interview preparation alongside my technical learning. Mock interviews gave me an opportunity to practise answering questions and understand where I needed to improve.

I also started paying more attention to how I explained the projects I had worked on. Instead of simply saying that I had completed a project, I had to understand what problem I was solving, what technologies I had used and why I had approached the problem in a particular way. This preparation helped me become more comfortable with the interview process.

My Job Search and Career Preparation

Once I was ready to start applying, I had to shift my focus from learning to presenting my skills to potential employers. I needed to understand how to present my projects and technical knowledge on my resume and during interviews. The career support helped me work on areas such as my resume, interview preparation and the overall job-search process. I still had to prepare on my own and demonstrate my skills during the interviews but having guidance made the process easier to navigate.

My projects also became an important part of my preparation because they gave me practical examples that I could discuss during interviews. The journey started to feel connected at this stage. The concepts I had learned became projects, the projects became part of my profile and the preparation helped me explain that work during interviews.

From Fresher to Engineer

The biggest milestone of my journey came when I received an offer for an Engineer role. I had started the program as a fresher who was still trying to figure out what skills I should learn and how I could begin my career in technology. By this point, I had spent time learning Generative AI and Multi-Agent Systems, working on projects and preparing for technical interviews.

Receiving the offer was a significant moment for me because it marked the transition from being a fresher looking for an opportunity to start my professional career as an Engineer. For me, the journey was not just about completing the course. It was about gradually building my technical skills, getting hands-on experience through projects, improving my confidence and preparing myself for the interview process. Getting the Engineer offer gave me a sense that all of those stages were finally coming together.

What I Think About the Experience

Looking back at my experience, one of the things that helped me most was having a structured path to follow. When I started, I was a fresher and I did not have professional experience to rely on. I had to build my technical foundation while also figuring out how to prepare for my first job. The program gave me a defined learning path along with projects, technical support and career preparation. At the same time, I realised that joining a course does not mean that the learning happens automatically.

I had to attend the sessions, practise the concepts, work on projects and prepare for interviews. There were topics that took time to understand and I had to put in additional effort when I was not comfortable with something.

The support available during the journey helped me when I needed guidance but I still had to do the work myself. Starting as a fresher and eventually receiving an Engineer offer made the overall experience meaningful for me. The biggest change was not just the technology I learned but the confidence I developed in applying what I had learned and discussing it during interviews.

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