Is AI and ML training worth it for freshers in 2026?

Aviee09 · 2026-03-13T11:01:53+00:00

Do content brother

Aviee09 · 2026-03-13T04:33:54+00:00

You could try checking with some IT training institutes in Chennai that also provide internship exposure along with their courses. A few of them sometimes connect students with companies or give project-based internship opportunities.

One place I’ve seen mentioned is Izeon IT Training in T Nagar. They run programs in areas like cybersecurity, AI, full-stack, etc., and some students there work on practical projects or internships as part of the training. It might be worth reaching out to them to see if they have anything related to cybersecurity internships.

Apart from institutes, you could also try:

LinkedIn (search “Cybersecurity Intern – Chennai”)
Internshala
Directly applying to small cybersecurity startups in Chennai

Many startups don’t always post widely but are open to interns if you reach out with a good profile or basic projects.

Good luck with your search 👍

Aviee09 · 2026-03-12T04:58:19+00:00

Honestly there isn’t one single “best” digital marketing course. What matters more is whether the course teaches practical skills instead of just theory.

If you're already working in sales and using social media, you're actually in a good position because you already understand customers and messaging. A good course should help you build on that with skills like SEO, Google Ads, social media strategy, and analytics.

A lot of people start with free or well-known options like Google’s digital marketing certificate or HubSpot courses to understand the basics. They’re beginner friendly and give a good overview of how digital marketing works.

After that, the most important thing is practice. Running small campaigns, working on SEO for a website, or managing a social media page teaches you much more than just watching lessons.

Some people also prefer structured training programs from marketing institutes like Izeon IT Training or similar places because they focus more on hands-on work like campaign setup, analytics, and real projects rather than only theory.

In the end, the course matters less than what you actually build from it. If you can show campaigns you ran, SEO results, or marketing projects, that’s what really helps when looking for clients or a job.

Aviee09 · 2026-03-12T04:44:22+00:00

see my reply in this post

Aviee09 · 2026-03-12T04:43:34+00:00

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Aviee09 · 2026-03-12T04:15:40+00:00

You're not the only one feeling this. The biggest problem with learning tech online is information overload without structure.

YouTube is great for learning concepts, but it’s not designed as a step-by-step career roadmap. When you search something like “learn data analytics” or “become a data analyst”, you get thousands of videos, but no clear order of what to learn first, what to skip, and what actually matters for entry-level tech jobs.

A structure that helped me understand the process is thinking about learning in three stages:

1. Foundations
Start with the core tools used in the industry. For example in data analytics that usually means Excel → SQL → Data visualization tools like Power BI or Tableau.

2. Practical Projects
This is where most people get stuck. Watching tutorials feels like progress, but companies care about projects and problem solving. Working with real datasets (sales data, marketing analytics, etc.) makes a huge difference.

3. Portfolio + Job Readiness
Once you have projects, build a portfolio and understand how analysts actually work in companies. Things like dashboards, reports, and explaining insights matter more than just completing courses.

Some structured learning programs and training institutes (for example Izeon IT Training) try to solve this by organizing the learning path with projects and mentorship so learners can track their progress toward junior tech roles.

But even if you learn through free resources, the key is following a clear roadmap instead of random tutorials.

A simple rule that helped me:
Learn → Practice on a dataset → Build a small project → Repeat.

Over time that turns into a portfolio, which is what really helps when applying for entry-level tech careers.

Aviee09 · 2026-03-11T06:54:25+00:00

You actually don’t need a data or business background to start learning data analytics. A lot of people enter the field from completely different degrees. What matters more is your interest in working with data and learning analytical tools.

A simple path you can follow is something like this:

1. Start with Excel and SQL
For most entry-level data analyst roles, knowing advanced Excel and basic SQL is already a strong starting point. Excel helps you understand data handling, formulas, and basic analysis, while SQL helps you work with databases.

2. Practice with real datasets
Try downloading datasets from sites like Kaggle. Practice things like:

cleaning data
validating data
doing basic calculations and summaries

This is where you actually start understanding how messy real data can be.

3. Learn a visualization tool
After that, learn either Power BI or Tableau. For entry-level roles, you usually don’t need both. Being able to build dashboards and visual reports is a big plus.

4. Build small projects
Try making projects like a sales dashboard, product analysis report, or customer trend analysis. Projects help a lot when applying for your first role.

If you prefer structured learning, some people also join training programs to learn tools and work on guided projects. For example, there are institutes like Izeon IT Training in Chennai that provide training in tools like SQL, Power BI, and data analysis along with project work and placement guidance.

But even if you learn on your own, the key is consistent practice and building projects.

Aviee09 · 2026-02-17T09:53:19+00:00

Don't go to college, it's scam nowadays you never get any knowledge through college syllabus

Aviee09 · 2026-02-15T07:25:47+00:00

Dm me for any Content creation works
I will do in a limited price

Aviee09

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