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Android developer: how to become a professional in the field?

android development

Estimated reading time: 8 minutes

Good part of Brazilians who have smartphones use the Android operating system.

Popularity presents an attractive scenario for application developers, who can reach the target audience easily, and also to consumers, who have access to a variety of devices.

For those interested in programming, a career as an Android app developer can be very promising and open many doors.

Want to know more about how these products are created and the opportunities to enter the job market in this area? This content is for you!

Next, we'll talk about the essential skills to work in this field, the main programming languages used and, of course, how much an Android developer can earn.

Keep reading to learn more about the subject! 

What does an Android developer do?

Android Developer
Android Developer: How to Become a Professional in the Field? 3

The Android developer is a professional whose main duties are design, develop and optimize applications for devices using the Android operating system

But the responsibilities don't stop there. The professional is the brain behind the applications we use for almost everything, from social networks to games and productivity applications. 

Therefore, the Android application developer also has the following functions:

  • Translate ideas into codes;
  • Create user-friendly interfaces;
  • Ensure solutions work smoothly;
  • Implement updates to ensure the relevance of solutions;
  • Provide a pleasant experience for consumers. 

Android app creators play a fundamental role in ensuring that we have access to robust and efficient solutions on our mobile devices.

What does it take to be an Android developer?

To excel as an Android developer, you need to master a variety of skills. Let's talk about the most essential ones:

Logical thinking

It is critical for any Android developer, as when bugs or programming challenges arise, it is logical thinking that helps diagnose and solve problems.

Imagine developing an app like putting together a puzzle: you need to identify and fit each piece logically to create the complete picture

Having well-developed logical thinking is essential for creating efficient, error-free code, ensuring that your application works as expected.

Know programming

Mastering the main programming languages is another essential skill if you want to become an Android developer. 

Programming is not just about writing code. It is also necessary to understand concepts such as control structures, loops, conditionals and data manipulation.

There are also good platform options that allow creating applications without using codes.

The so-called no-code tools enable both programmers and people without programming knowledge to create applications through graphical interfaces and configurations, instead of resorting to traditional computer programming. 

Among the main advantages of the no-code language are:

  • Greater agility to test ideas;
  • Cost reduction for app development;
  • Simplification of processes;
  • Shorter time to launch the solution;
  • Democratization of professional opportunities;
  • Greater autonomy for professionals and companies.

Understanding data storage

Android apps often need to store and manage data. To do this, it is necessary to have a understanding how storage systems and databases work

O SQLite is one of the most common options in Android applications, and developers must know how to design, create, and query their databases. 

Additionally, it is important to understand how to handle other storage methods, such as caching, shared preferences, and access to web resources through APIs.

Understanding the development environment

A competent Android developer must be comfortable with the development environment, and one of the main tools for this is the Android Studio

This is the main IDE – Integrated Development Environment – used for build, debug, and test Android apps.

Mastering the tool helps increase development efficiency, which includes understanding how to create projects, write code, debug issues, and test device emulators.

Being aware of the latest development environment updates and features is important to get the most out of this tool.

Languages most used by Android developers

Now that you understand the importance of the skills needed to become a successful Android app developer, it's time to understand the most widely used languages in the field.

Check out the main information about each of them:

Java

It has been the predominant language for Android development for a long time. It is known for its robustness, reliability and wide adoption in the development community

If you are just starting your journey as an Android developer, learning Java is a very valid starting point.

There are a variety of learning and support resources available to make learning more accessible.

Python

Although it is not the main language for Android development, it has gained popularity thanks to the use of framework Kivy.

It is recognized for its simplicity and ease of learning, in other words, it is an excellent choice for programming beginners. 

Whether you're already knowledgeable in Python or want to explore an alternative approach, Kivy can open doors to building Android apps more intuitively.

HTML5

It is a language that can also be used to create Android applications using specific tools, such as Apache Cordova.

This approach allows Leverage skills in HTML, CSS, and JavaScript to develop cross-platform applications. 

If you already have knowledge of web technologies, this option could be a great option. smooth transition to Android development.

no-code Languages

With the emergence of development tools no-code, like Bubble.io, it is now possible to create Android applications no need for manual coding

This approach makes app development accessible to a wider audience, allowing entrepreneurs and enthusiasts to turn their ideas into working solutions. without the need for knowledge of programming languages.

It's a way to democratize application development and expand creative possibilities.

As mentioned previously, it also guarantees greater agility and low costs for the apps development process.

Want to learn more about this language? Check out now free bubble course with the No-Code Start-Up

How much does an Android developer earn?

Which developer earns the most?
Android Developer: How to Become a Professional in the Field? 4

Now that you know what it takes to become an Android developer, It's natural to wonder how much this professional can earn.

Salaries vary depending on factors such as experience, geographic location and the hiring company.

According to data provided by the website Vagas.com, the average salary for Android developers in Brazil is R$4.670, but experienced professionals can earn more.

Furthermore, the sector in which you work also influences the salary amount.

For example, Android developers who work as business management consultants tend to earn more, with an average of R$6.235.77, while those who work in retail trade receive around R$5,019.80.

Betting on a career as an Android developer is a promising idea that gives you the opportunity to earn a good salary, especially as you gain experience.

With the growing demand for mobile applications, the outlook for Android developers they are very good.

For those who want to enter this field, the search for knowledge and the development of skills are fundamental steps.

Considering that there are several programming languages and tools available, it is important to choose the one that best fits your career goals and objectives.

And remember, With determination and dedication, the possibilities are endless in the area of technology.

Get started now with No-Code

Do you want to take your first steps towards becoming an Android app creator? No-Code Startup helps you! Click here and discover the six best programming courses in Brazil to become a expert in the area.

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Neto Camarano

Neto specialized in Bubble due to the need to create technologies quickly and cheaply for his startup. Since then, he has been creating systems and automations with AI. At the Bubble Developer Summit 2023, he was listed as one of the greatest Bubble mentors in the world. In December, he was named the largest member of the global NoCode community at the NoCode Awards 2023 and first place in the best application competition organized by Bubble itself. Today, Neto focuses on creating AI Agent solutions and automations using N8N and Open AI.

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Large Language Models (LLMs) have become one of the most talked-about technologies in recent years. Since the meteoric rise of ChatGPT, generative AI-based tools are being explored by entrepreneurs, freelancers, CLT professionals, and tech-curious individuals.

But why is understanding how LLMs work so important in 2025? Even if you don't know how to program, mastering this type of technology can open doors to automation, the creation of digital products, and innovative solutions in various areas.

In this article, we will explain in an accessible way the concept, operation and real applications of LLMs, focusing on those who want to use AI to generate value without relying on code.


What is an LLM

What is an LLM?

LLM stands for Large Language Model. It is a type of artificial intelligence model trained on huge volumes of textual data, capable of understanding, generating and interacting with human language in a natural way. Famous examples include:

  • GPT-4 (OpenAI)
  • Claude (Anthropic)
  • Gemini (Google)
  • Mistral
  • Perplexity IA

These models function as “artificial brains” capable of performing tasks such as:

  • Text generation
  • Automatic translation
  • Sentiment classification
  • Automatic summaries
  • Image generation
  • Automated service

How do LLMs work?

In simple terms, LLMs are built on Transformer neural networks. They are trained to predict the next word in a sentence, based on large contexts.

The more data and parameters (millions or billions), the more powerful and versatile the model becomes.

Read more: Transformers Explained – Hugging Face

Own LLMs vs. API usage: what do you really need?

Building your own LLM requires robust infrastructure, such as vector storage, high-performance GPUs, and data engineering. That's why most professionals opt for use ready-made LLMs via APIs, like those of OpenAI, Anthropic (Claude), Cohere or Google Gemini.

For those who don't program, tools like Make, Bubble, N8N and LangChain allow you to connect these models to workflows, databases, and visual interfaces, all without writing a line of code.

Additionally, technologies such as Weaviate and Pinecone help organize data into vector bases that improve LLM responses in projects that require memory or customization.

The secret is to combine the capabilities of LLMs with good practices in prompt design, automation and orchestration tools — something you learn step by step in AI Agent Manager Training.

Difference between LLM and Generative AI

Although they are related, not all generative AI is an LLM. Generative AI encompasses many different types of models, such as those that create images (e.g. DALL·E), sounds (e.g. OpenAI Jukebox), or code (e.g. GitHub Copilot).

LLMs are specialized in understanding and generating natural language.

For example, while DALL·E can create an image from a text command, such as “a cat surfing on Mars,” ChatGPT, an LLM — can write a story about that same scenario with coherence and creativity.

Examples of practical applications with NoCode

The real revolution in LLMs is the possibility of using them with visual tools, without the need for programming. Here are some examples:

Create a chatbot with Dify

As Dify Course, it is possible to set up an intelligent chatbot connected to an LLM for customer service or user onboarding.

Automate tasks with Make + OpenAI

Node Makeup Course You learn how to connect services like spreadsheets, email, and CRMs to an LLM, automating responses, data entry, and classifications.

Building AI Agents with N8N and OpenAI

O Agents with OpenAI Course teaches how to structure agents that make decisions based on prompts and context, without coding.

Advantages of LLMs for non-technical people

Advantages of LLMs for non-technical people

  • Access cutting-edge AI without having to code
  • Rapid testing of product ideas (MVPs)
  • Personalization of services with high perception of value
  • Optimization of internal processes with automations

LLMs and AI Agents: The Future of Interaction

The next evolutionary step is the combination of LLMs and AI agents. Agents are like “digital employees” that interpret contexts, talk to APIs and make decisions autonomously. If you want to learn how to build your agents with generative AI, the ideal path is AI Agent Manager Training.

We are living in an era where texts, images and videos can now be created by artificial intelligence. But there is one element that is gaining strength as a competitive advantage: the voice.

Whether in podcasts, institutional videos, tutorials or even automated service, the ability to create realistic artificial voice is changing how companies and creators communicate. And in this scenario, the ElevenLabs AI emerges as one of the global protagonists.

What is ElevenLabs
What is ElevenLabs AI? The AI-Powered Voice Revolution 8

What is ElevenLabs?

O ElevenLabs is one of the neural speech synthesizers most advanced on the market. With its technology AI voice cloning and AI-powered text to speech, allows you to create realistic voices in multiple languages, with natural intonation, dynamic pauses and surprising emotional nuances.

Key Features:

  • Human-quality Text to Speech
  • Conversational AI with support for interactive agents
  • Studio for longform audio editing
  • Speech to Text with high accuracy
  • Voice Cloning (Instant or Professional)
  • Sound Effects Generation (Text to Sound Effects)
  • Voice Design and Noise Isolation
  • Voice Library
  • Automatic dubbing in 29 languages
  • Robust API for automations with tools like N8N, Make, Zapier and custom integrations
ElevenLabs FAQ
What is ElevenLabs AI? The AI-Powered Voice Revolution 9

ElevenLabs FAQ

Find out more about the company and news from ElevenLabs directly at official website of ElevenLabs and see the API documentation.

Does ElevenLabs have an API?

Yes, ElevenLabs has a complete API that allows you to integrate speech generation with automated workflows.

With this, it is possible to create applications, service bots, or content tools with automated audio.

Discover the Make Course from NoCode Start Up to learn how to connect the ElevenLabs API with other tools.

Are ElevenLabs voices copyright free?

AI-generated voices can be used commercially, as long as you respect the platform's Terms of Use and do not violate third-party rights by cloning real voices without authorization.

Is it possible to use ElevenLabs for free?

Yes. ElevenLabs offers a free plan with 10,000 credits per month, which can be used to generate up to 10 minutes of premium quality audio or 15 minutes of conversation

This plan includes access to features like Text to Speech, Speech to Text, Studio, Automated Dubbing, API, and even Conversational AI with interactive agents.

Ideal for those who want to test the platform before investing in paid plans.

What is the best alternative to ElevenLabs?

Other options include Descript, Murf.ai and Play.ht. However, ElevenLabs has stood out for its natural voice, advanced audio editing features with AI, API integration and support for multiple languages.

Their paid plans start from US$ 5/month (Starter) with 30 thousand monthly credits, and go up to scalable corporate versions with multiple users and millions of credits.

See all available plans on the ElevenLabs website. However, ElevenLabs has stood out for the naturalness of its voice and the quality of its API.

How does ElevenLabs work?

You submit a text, choose a voice (or clone one), and AI converts that text into realistic audio in seconds. It can be used via the web dashboard or via API for automated workflows.

Examples of using ElevenLabs AI in practice

1. Video and podcast narration

Ideal for creators who want to save time or avoid the costs of professional voiceovers.

2. Automated service with human voice

Turn cold bots into realistic, empathetic voice assistants.

3. Generating tutorials and training with audio

Companies and CLT professionals can create more engaging internal materials.

4. Applications that “talk” to the user

With tools like Bubble, FlutterFlow or WebWeb, it is possible to integrate AI voice into apps.

How to integrate ElevenLabs with NoCode tools

NoCode tools
What is ElevenLabs AI? The AI-Powered Voice Revolution 10

N8N + ElevenLabs API

Allows you to automate voice generation based on dynamic data using visual workflows in N8N. It is ideal for creating processes such as audio customer service responses, automated voice updates, and more.

Discover the N8N Course from NoCode Start Up

OpenAI Agents + ElevenLabs

With the use of AI agents, it is possible to create voice-responsive systems, such as a virtual attendant that speaks to the customer based on a dynamic prompt.

See the Agents with OpenAI Course

Bubble/FlutterFlow + ElevenLabs

Use the API to insert audio into your apps with interaction triggers or dynamic events.

ElevenLabs and NoCode: Open the door to creating experiences with voice AI

AI-generated voice is already a powerful, accessible and potential-rich reality. ElevenLabs is not just a tool, but an engine for creating immersive, automated and more human experiences.

If you want to learn how to integrate these possibilities with NoCode and AI tools, NoCode Start Up has the ideal paths:

The market is changing – fast. Artificial intelligence is no longer a trend, it has become a necessity. Companies are cutting costs, optimizing operations and looking for specialists to implement AI in their daily lives. And this is exactly where the AI profession comes in. AI Manager Course.

NoCode AI Manager Course: What it is, Who it is for and What its Objectives are

THE AI Agent Manager Training It is aimed at anyone who wants to enter the field of artificial intelligence in a practical way, without needing to know how to program.

The main objective is to train professionals capable of delivering automation and real solutions for companies using NoCode tools.

It is ideal for both those who want to offer services and those who want to open their own AI agency.

The training proposal is clear: enable you to bill more than R$14,000 per month working with intelligent solutions — a market that is only growing.

Access the training here

What is Included in the AI Agent Manager Course?

The training is structured in complete knowledge trails, with content organized by theme and level of mastery:

Topics covered:

  • Fundamentals from Zero to Advanced
  • Mastering Automations with AI
  • Creating and Selling AI Agents to Companies
  • Applied Prompt Engineering
  • Using NoCode tools like n8n, Dify, Make, OpenAI and more
  • Integration with WhatsApp, CRMs and payment gateways
  • Ready-to-clone and apply templates

When you sign up, you get:

  • 8 complete formations, including SaaS AI and technical courses from NoCodeStartUp;
  • Access to exclusive community, active and with direct support from instructors;
  • 1 year full access, including the Make paid plan;
  • NoCode Match, a hub of real opportunities in the AI and automation market.

Differences between AI Manager Training and Other Courses

Unlike many generic courses, this training was designed as a complete ecosystem of learning and practical application, with total focus on generating results for the student.

  • 100% classes structured, edited and with step-by-step teaching methods
  • Mentors present, community engaged
  • Trail with beginning, middle and end, organized with teaching methodology
  • Real opportunities and networking with companies and devs
  • Masterclasses with experts who already apply AI in agencies and companies

Take advantage of the offer

What is the cost of the AI Manager Course and Access Conditions?

The promotional value of the training is R$ 1,497 in cash or in up to 12 installments of R$ 157.53 on the credit card.

  • Full access for 12 months
  • 7-day money-back guarantee
  • Updates included at no additional cost

FAQ: Main Questions About the AI Manager Course

Do you need prior knowledge?
No. All content is designed for absolute beginners in AI and NoCode.

How long do I have access?
You will have 1 year of access complete to the platform and updates.

Can I ask for a refund if I don't like it?
Yes. You have 7 days warranty to test and cancel without bureaucracy.

I'm a PRO student. Do I already have access?
Yes. NoCodeStartUp PRO subscribers have unlimited access to the training.

What are the extra costs for tools?
The only initial cost for teaching purposes is US$ 5 to use OpenAI API.

How long will it take for me to see results?
In the first few days, you can create and test your first AI agent.

What do I get when I purchase?
Immediate access to all tracks, bonuses, community, templates, Masterclass and tools.

How to Become an AI Manager?

To become an AI manager, the ideal is to start with training that combines practice and theory in an accessible way.

The NoCodeStartUp course focuses exactly on that, teaching how to create automations with AI without requiring prior programming knowledge.

You'll learn everything from the fundamentals to delivering real solutions using platforms like n8n, Make, Dify, Zapier, and OpenAI.

How Much Does an AI Manager Earn?

According to the market itself and reports from students, an AI manager can earn above R$10 thousand per month, working with consultancies, creating personalized agents or recurring services via intelligent automation.

Which Course Should I Take to Work with AI?

If you are looking for a practical, up-to-date course, with a strong connection to the market and no programming requirements, AI Agent Manager Training is one of the most complete currently.

It combines technical content with real-world application so you can start working quickly.

Invest in Yourself: Become a Professional AI Manager

If you are looking for a way to stand out in the digital market, enter the technology area without having to program and act with something that is growing rapidly, this course is a smart shortcut.

The AI Agent Manager Training provides a clear path, real support and applicable tools for you to work with AI in a professional manner.

It is applied learning with a total focus on solving real problems using artificial intelligence.

Access the AI Manager training now and start building a new future with AI.

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