Hello guys, if you want to learn Java from scratch and looking for the best Java books then you have come to the right place. Earlier, I have shared the free Java courses for beginners, and today, I am going to share the best books to learn Java from scratch. There is no doubt that the best book to learn Java for beginners is indeed Head First Java, 3rd Edition. It's interesting, informative, and yet easy to read, which is what a beginner wants. The only drawback of this book was that there is was 3rd Edition available until a couple of months ago but now that drawback has also gone as the 3rd Edition of Head First Java is now available and it covers Java SE 17, the latest version of Java.
Wednesday, July 8, 2026
Review - Is Coursera's Cybersecurity Specialization by Maryland University worth It in 2026?
Cyber security is the science behind protecting the company's infrastructure, including employees' computers, their network, the servers where they host the web application, and the database of users' information or any sensitive information. They use some tools to assess the security of their infrastructure and to discover new vulnerabilities.
Review - Is Coursera and IBM Data Science Professional Certificate Worth It in 2026?
Hello guys, if you want to join IBM's Data Science Professional Certification on Coursera but are not sure whether you should join or not or whether you are thinking it's worth it or not then you have come to the right place. Earlier, I have shared the 10 best Coursera courses for data science, and in this article,, I will share my experience with Coursera's popular Data Science Professional certificate. Many people call data science the sexiest job in this 21 country because of its demand by companies that need to have insights into their data for decision-making and high-paying jobs. So for that reason, many people are trying to learn the skills needed for the position of a data scientist, and almost no better place than taking this IBM course for data scientists.
Review - Is Coursera's IBM AI Engineering Professional Certificate Really Worth It?
Artificial intelligence nowadays is revolutionized almost every industry, from youtube recommendations detecting fraudulent transactions in banks and showing ads in your Facebook feed. Companies need qualified artificial intelligence engineers to stay competitive in this industry and make a better user experience. According to glassdor.com, the average salary for an AI engineer is more than $118k a year.
Tuesday, July 7, 2026
Review - Is IBM Applied AI Professional Certificate Course Worth It?
The artificial intelligence revolution nowadays seems to be the future of human life. This technology is implemented in every app or website you visit and used for unlocking the door with your face to secure any money transaction and used in gaming to put your face in any character you want, and this list goes on. That means getting the skills in artificial intelligence under your belt is a good investment in the future to get a job or even create your own business that uses artificial intelligence to solve people's problems. Most people think that you need a degree in this area to have a job. Still, companies are looking for your skills more than your degree, so you can take an online course like IBM Applied AI Professional Certificate and start your journey.
I've Read 30+ Coding Books — These 10 Are the Only Ones Worth Your Time
Hello guys, Coding is one of the most essential skills for programmers, and if you want to survive as a programmer, you must improve your coding ability. Gone are the days when you can get a software development job without having you write a single line of code and then somehow survives in the role by doing support, coordination, and other non-coding activities. Companies, both big and small, are increasingly testing the coding skills of candidates before hiring. It's widespread for programmers to pass a coding test before a telephonic round of interview.
Saturday, July 4, 2026
I Tried 20+ Project based AI and LLM Courses: Here Are My Top 7 Recommendations
Hello guys, as I have said before, Artificial Intelligence is no longer just an academic subject or a futuristic concept — it’s the core of modern software engineering.
And in 2026, as companies continue to seek professionals who can actually build and deploy AI-powered systems, one thing is becoming increasingly clear:
Learning through projects isn’t optional anymore — it’s essential.
Many aspiring AI engineers fall into the trap of watching endless tutorials or reading technical documentation without ever building something tangible.
But if you’re serious about becoming an AI engineer, there’s no better way to sharpen your skills and prove your capabilities than by working on real-world projects.
Whether you’re learning about Large Language Models (LLMs), AI agents, or generative AI, project-based learning allows you to apply concepts, solve real challenges, and build a portfolio that hiring managers want to see.
In the past, have shared best AI courses, books, and AI frameworks and libraries, and in this article, I am going to share best Udemy courses to learn AI and LLM Engineering with projects, yes that’s the key part, building projects.
7 Best Udemy Courses to learn AI and LLM Engineering with Projects in 2026
Here are the top 7 project-based Udemy courses for AI engineers in 2026. These courses don’t just teach — — they make you build. If you’re aiming to break into AI or level up your engineering game, these courses are your launchpad.
1. The Complete Agentic AI Engineering Course (2026)
Students: 60,154+
Projects: 8 real-world agentic AI projects using OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP
This is one of the most exciting and well-structured courses for building agentic AI systems — — the future of autonomous applications. You’ll build multiple real-world projects, ranging from task automation bots to multi-agent workflows using modern tools like:
- OpenAI Agents SDK
- LangGraph (for complex control flows)
- AutoGen & CrewAI (for managing multiple agents)
- MCP (for orchestrating tools and resources)
By the end of the course, you’ll not only know how to build AI agents but also when and why to use them effectively. If you’re looking to break into advanced AI engineering with agent-based systems, this course is a must.
✅ Ideal for: Intermediate to advanced learners who want to specialize in multi-agent and agentic systems.
Here is the link to join this course — — The Complete Agentic AI Engineering Course
2. LLM Engineering: Master AI, Large Language Models & Agents
Students: 111,423+
Projects: Build and deploy 8 LLM-powered apps
This bestseller udemy course is perfect if you want to go deep into the Large Language Model (LLM) ecosystem. You’ll explore not just the theory behind models like GPT, but build full applications powered by:
- Generative AI
- RAG (Retrieval-Augmented Generation)
- LoRA (Low-Rank Adaptation)
- LangChain and Hugging Face
What sets this course apart is its real deployment scenarios — — you’ll learn how to integrate LLMs with APIs, cloud services, and UI layers. By completing the included projects, you’ll have a deployable portfolio to show off your skills.
✅ Ideal for: Developers aiming to work on LLM-based applications or productized AI tools.
Here is the link to join this course — — LLM Engineering: Master AI, Large Language Models & Agents
3. Master LLM Engineering & AI Agents: Build 14 Projects — 2026
Students: 1,551+
Projects: 14 high-quality AI engineering projects
If you’re serious about building a diverse portfolio, this course delivers in a big way.
It walks you through 14 complex projects covering everything from LangGraph orchestration, RAG pipelines, to MCP-based systems, and integrations with CrewAI, N8N, AutoGen, and Hugging Face Transformers.
You also get:
- Expert mentorship and Q&A support
- Access to a community of AI engineers
- Advanced use cases in business and personal automation
This course is incredibly hands-on and fast-paced — — perfect for someone preparing for a career transition or actively looking to impress recruiters.
✅ Ideal for: Experienced developers who want to build a wide range of AI projects and break into LLM + Agent development roles.
Here is the link to join this course— Master LLM Engineering & AI Agents: Build 14 Projects— 2026
4. Building Gen AI App: 12+ Hands-on Projects with Gemini Pro
Students: 16,695+
Projects: 12+ Generative AI apps using Gemini Pro and LangChain
This course is your go-to resource for mastering Google’s Gemini Pro models and applying them in LangChain pipelines to build creative and enterprise-ready solutions.
Projects range from:
- Text summarization tools
- AI content generators
- Search engines powered by Gemini
- Document question-answering bots
If you want to learn how to work with Gemini models and create practical tools with the latest GenAI capabilities, this course is both future-proof and incredibly valuable.
✅ Ideal for: Developers and product designers who want to work with Gemini and integrate it into end-user applications.
Here is the link to join this course — — Building Gen AI App: 12+ Hands-on Projects with Gemini Pro
5. Modern Artificial Intelligence Masterclass: Build 6 Projects
Students: 38,072+
Projects: 6 practical AI projects in Finance, Tech, Art, and Healthcare
If you prefer real-world problem solving, this course blends project-based learning with industry relevance. You’ll build six end-to-end AI systems, including:
- A stock market prediction tool
- Medical image analysis
- An AI-powered art generator
- A recommendation engine
The course focuses on interpretable AI, Python frameworks (like TensorFlow & Scikit-learn), and model evaluation, making it great for those interested in both machine learning and explainability.
✅ Ideal for: Beginners to intermediate learners who want project experience in multiple sectors and domains.
Here is the link to join this course — — Modern Artificial Intelligence Masterclass: Build 6 Projects
6. AI Automation: Build LLM Apps & AI-Agents with n8n & APIs
Students: 25,784+
Projects: Automate workflows with LLMs, n8n, RAG, DeepSeek, Ollama
This course dives into the intersection of automation and AI, teaching you how to create intelligent workflows using n8n, OpenAI APIs, and LLMs like DeepSeek, Ollama, and Gemini.
Projects focus on:
- Workflow automation (emails, forms, tasks)
- Creating RAG-based chatbots
- Business agent orchestration
- End-to-end AI pipelines using APIs and low-code tools
It’s perfect if you want to automate business processes or create tools for startups and solo ventures.
✅ Ideal for: Solopreneurs, automation enthusiasts, or business developers integrating AI into workflows.
Here is the link to join this course — — AI Automation: Build LLM Apps & AI-Agents with n8n & APIs
7. Complete MLOps Bootcamp With 10+ End-to-End ML Projects
Bestseller | 23,871 students enrolled
If you’re aiming to go beyond building ML models and actually deploy and maintain them in production, this is the course to take.
You’ll cover:
- Model versioning and tracking
- CI/CD pipelines for ML (with GitHub Actions, Docker, Kubernetes)
- Serving models via FastAPI
- Monitoring, alerting, and data drift detection
- Building 10+ complete projects, from development to deployment
Why it’s a must-learn:\ AI engineers often neglect MLOps skills. But in 2026, knowing how to deploy, scale, and manage models is as critical as building them. This course ensures you don’t just build a model — — you ship it.
Here is the link to join this course — — Complete MLOps Bootcamp With 10+ End-to-End ML Projects
Final Thoughts: Why You Should Learn AI by Building Projects?
Watching videos is great. Reading books is necessary. But building projects is where the real learning begins. You don’t learn and remember, unless you build things, break things and fix those things.
Here’s why project-based learning is so effective:
- You learn by doing: You’re forced to debug, adapt, and understand concepts at a deeper level.
- You build a portfolio: Recruiters love seeing GitHub links, live demos, and apps you’ve built.
- You gain confidence: Each completed project proves you can build real-world AI systems.
- You stay current: Many of these courses teach tools and techniques that are cutting edge in 2026.
If you’re looking to get hired, freelance, or launch your own AI-based product, these Udemy courses provide the best path forward — — with hands-on, high-impact learning.
By the way, if you want to join multiple course on Udemy, its may be worth getting a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month.
If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.
Final Tip
To make the most of these courses:
- Push all your projects to GitHub
- Deploy a few on platforms like Vercel, Streamlit, or Hugging Face Spaces
- Write blog posts or case studies about what you’ve built
Believe me these small efforts can turn your Udemy course certificates into career-changing assets.
Other AI and Cloud Computing Resources you may like
- Top 5 Courses to Prepare for AIF-C01 Exam
- How to Prepare for AWS Solution Architect Exam
- 5 Best Udemy courses to learn Midjourney
- 6 Udemy Courses to learn Agentic AI
- 6 Udemy Courses to learn AWS Bedrock
- Top 5 Udemy Courses for AWS Cloud Practitioner Exam
- 5 Best Courses to learn AWS SageMaker
- Top 10 Udemy Courses to learn Artificial Intelligence in depth
- Top 5 Udemy courses to build AI Agents
- 7 Best Courses to learn AWS S3 and DynamoDB
- 10 Best Udemy Courses to learn Artificial Intelligence
- 8 Udemy courses to learn Prompt Engineering and ChatGPT
- 5 Best Udemy Courses to learn Building AI Agents
- Top 5 Udemy Courses to learn Large Language Model
Thanks for reading this article so far. If you find these Udemy Courses for learning AI and building projects then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. — If you want to learn from books and looking for best AI and LLM Books then I highly recommend you to read AI Engineering by Chip Huyen and The LLM Engineering Handbook by Paul Iusztin and Maxime Labonne, both of them are great books and my personal favorites. They are also highly recommended on Reddit and HN.
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