Learn FinTech at These 12 FinTech Bootcamps

Jigsaw Labs does a great job in preparing you to be a data engineer. The first portion of the course involves going through software engineering covering back end development. Starting out with going through some basic fundamentals of coding involving arrays, dictionaries, functions, and tests. Everything builds on itself starting from day one ensuring that one is able to gain continued practice and exposure to the concepts in different formats. From there it goes into learning about codebase navigation and implementation. Ensuring that you know how to setup a codebase for a project, and are able to navigate a codebase and make changes to the code. Afterwards, it takes you through SQL, OOP, and system design to fully bring together the construction of backend tasks and logic as a software engineer. 

This all takes up the first half of the course. After getting through this, things begin getting interesting. Students are matched up with various companies for an internship that runs in parallel to the course for the remainder of the program. With this you get live practice and opportunities in a professional setting along with mentorship from the company you're working with and the jigsaw team of instructors. This opportunity gives the chance to practice things such as stand-ups, organization of job needs and demands and more important soft skills that contribute to the ability of one to become a strong and effective software and/or data engineer. All of this is in addition to the technical skills being learned and practiced from the opportunity. This portion of the class involves at least 6 hours with that time coming from dedicated in class time with myself and many other of my classmates choosing to put in more time outside of class hours. 

While this is taking place, we begin going through devops, cloud, analysis, and other current in demand data engineering tools(the curriculum is continuously updated to remain relevant). In my cohort we covered docker and learned how to work with it and then based on the response of the job market, terraform was included in the following cohort and made available to those of us from previous cohorts. AWS is the cloud provider of choice and we work with it and learn how to use parts of its ecosystem such as EC2, S3, Lambda, Glue, Athena, Redshift as part of constructing a data pipeline. We also work with leading/emerging technologies in the industry such as Airflow and Prefect for workflow orchestration, DBT, DuckDB, and more. Afterwards we worked with tableau to practice presenting our findings for our target audience in a concise way that delivers our message through things such as dashboards.

Last but not least, we get to part of what truly helps distinguish this bootcamp. The job support and preparation is amazing. As we begin nearing the end of our formal classes and instructions DSA and leetcode practice is incorporated. This is for both python and sql. Additionally, reviewing and gaining understanding of the core key concepts we've covered throughout the course, how they function, and how to use/incorporate it in an appropriate way in a live setting is covered. This helps prep for conceptual and higher level questions that test understanding. From there, training and prep for answering interview questions is done.

When the course officially 'ends' a continuation of interview prep and content review is done. This helps ensure we are able to maintain and continue growing our skills that we've learned over the previous 6-7 months. Additionally, the team of instructors meets with you to help curate a tailored plan to find a job based on your experience and interests. At this point, some people continue on with their internships, some get offered more permanent roles, some find new internships, while some just continue to practice. All this takes place while applying for jobs. Help is provided on that front with slack channels, groups, and more that can help us network and expose us to opportunities that we might have previously missed. 

When I was applying for a job, I was given help with things such as resume construction, mock interviews, conferences and more. Overall, I'll repeat the process and recommend the program to others. The content is top notch, the instruction is first class, and the opportunities one has available afterwards speaks volumes. It can be a lot of work to keep up and ensure you're doing your best and properly learning the content, especially if you're new to coding. Even though I had experience I still learned a lot from the course and had to put in my share of hours as well. However, it's well worth it because of the skill-set you come out with. Nothing is a guarantee. However, I can say with strong confidence that if one puts in a strong effort into the course you'll come out with something that will help move you down your career path.

100% du métier est creusé dans la formation avec des intervenants professionnels d'entreprises variées. Avec une part importante de pratique sur des problèmes concrets ; l'idéal pour faire un gros gap rapidement. Formation top niveau qui vous demande de bosser pour y arriver.

Metana is more than just a bootcamp, it's a life-changing experience. You'll not only gain technical skills, but you'll also join a vibrant community and become part of the exciting Web3 revolution. If you're looking for a career challenge and a chance to make a real impact, Metana is the answer.

I had an excellent experience taking RareSkills’ Advanced Solidity Bootcamp. The coursework was challenging and engaging and caused me to deepen my understanding of Solidity and the EVM. The assignments encourage us to research and perform hands-on testing and verification so that we’re learning by practice and not just theoretics.

I enjoyed the format that the course takes as well. We have a weekly video session to learn and be able to ask any questions that we have. In addition, we have weekly office hours for this purpose also. We can also schedule time with our course professor for my 1-1 time.

One of the greatest benefits of joining the bootcamp was gaining access to the RareSkills community. Many top Web3 and blockchain professionals from major companies are within the community and only a message away. It’s great to be able to network with people of this caliber and have opportunities to grow my career.

Although there is no job guarantee, I was able to find a few work opportunities by being a part of the community. RareSkills is an elite and well-respected brand within the blockchain space.

Overall, I’m glad that I decided to take the Advanced Solidity course and join RareSkills. I would HIGHLY recommend it to anyone who is thinking of taking a course.

I've taken two EmergingEd courses, Cybersecurity Foundations and Frameworks and Machine Learning Foundations and Frameworks. Working for a tech startup without much exposure to either disciplines, I found both courses so incredibly helpful in learning more about the foundation and frameworks for each one. The Cybersecurity course added immediate value to my role at work and even my personal life. It had me do a lot of self reflection. The Machine Learning course was little more challenging, and there were many foreign topics that I never even knew existed. It made me really appreciate the hard work my colleagues do but also have a better understanding of the work they're presenting to our team. 

With the help of the Macro Fellowship, I was able to transition from being a senior engineer at a large Web2 company to working at a blockchain defi startup.

I was already learning Solidity and Ethereum before the fellowship, but now I can write and audit secure smart contracts.

I really enjoyed learning a lot about security in web3 and learning in depth how Solidity contracts end up as EVM byte code. The fellowship also allowed me to meet great people in web3 / learning about web3. I really appreciated how most of the Solidity code I wrote was audited—provided me with great feedback.