

Jedha offers a comprehensive 600-hour Data Engineering and AI/ML course, focusing on essential skills like Python, SQL, cloud technologies, and Spark. Students can choose between a 15-week full-time bootcamp or a 32-36 week self-paced format. The course includes live instruction, mentoring, and career support, emphasizing hands-on projects in data pipelines, orchestration, CI/CD, and MLOps, including model training and serving.
Designed for aspiring data engineers and AI specialists
Suitable for both beginners and experienced professionals
No specific prerequisites, just a passion for data
Choose live bootcamp or flexible self-paced format
Hands-on projects in data pipelines and orchestration
Mentoring and career support throughout the course
Gain proficiency in Python, SQL, cloud, and Spark
Receive career support for job readiness
No certifications are covered by this course.
Graduate 2026
I'd been working as a Python software engineer for about 2.5 years and honestly I was just bored. Not of Python itself, but of doing only dev. I had this gut feeling that data would be more my thing, so I started looking at bootcamps in Paris, compared a few and went with JedhaBest decision. Having a coding background helps obviously, but data science is a different beast. The way you approach problems, the thinking behind a model, the whole ML pipeline... it's way more stimulating than what I was doing before. And I say that as someone who genuinely liked codingThe teachers are solid and approachable, which sounds basic but it really matters when you're grinding through weeks of dense content. I also appreciated the flexibility of being able to work from home or show up on site whenever I felt like it. Some days you just focus better from your couch, and that's fineLots of hands-on practice too, which suited me well. Instead of just following along I could actually dig deeper into the concepts at my own pace !
Student 2025
I spent years as an English teacher before deciding to make a full career switch into data. It's a big jump, and finding the right training programme was crucial. What convinced me to go with Jedha was honestly the pre-enrolment experience. The team was incredibly responsive and helpful when I had questions about financing and readiness, which made the decision much easier compared to other options I was considering.The hybrid format was a huge plus for me, being able to choose on any given day whether to attend in person or remotely gave me the flexibility I needed. But the real highlight was the teaching. Emilien and Tarik are genuinely fantastic, they clearly love what they do and it shows. They strike this perfect balance between delivering the course content and sharing their own professional insight, which adds so much depth to the learning experience. Patient, well-prepared, and really strong pedagogically.On the technical side, I got a lot out of the modules on Tableau and Airflow in particular, and the Spark module was also really enjoyable. For someone coming from a completely non-technical background, being able to work with these tools and actually understand what's happening under the hood felt like a massive achievement.If you're considering a career change into data, Jedha gives you the structure and the support to make it happen đ
Graduate 2026
Jâai suivi la formation Lead Data Science chez Jedha. Je lâai choisie pour son programme trĂšs orientĂ© pratique et sa bonne rĂ©putation dans le domaine de la data.Je suis particuliĂšrement fier dâavoir appris Ă mener un projet data de bout en bout, de lâanalyse des donnĂ©es jusquâau dĂ©ploiement dâun modĂšle. La pĂ©dagogie est claire, les formateurs sont disponibles et lâaccompagnement est de qualitĂ©.Une formation trĂšs complĂšte que je recommande
Graduate 2026
Je travaillais comme chargĂ©e de clientĂšle Ă La Poste, rien Ă voir avec le monde de la data. Quand j'ai dĂ©cidĂ© de me reconvertir, j'ai pas mal cherchĂ© avant de choisir Jedha. Ce qui m'a convaincue c'est les avis en ligne et le fait que l'Ă©cole soit reconnue et rĂ©fĂ©rencĂ©e dans les dispositifs de financement, ça rassure quand on se lance dans un nouveau domaine.Le programme est vraiment bien construit pour quelqu'un qui part de zĂ©ro. C'est progressif, fluide, on n'est pas lĂąchĂ© dans le grand bain dĂšs le premier jour. On commence par les bases en Python, SQL, et petit Ă petit on monte vers le machine learning et le deep learning. Les masterclass sont un vrai plus aussi, ça donne un coup de boost et ça aide Ă garder le rythme quand on suit la formation Ă distance.Ce que j'ai particuliĂšrement apprĂ©ciĂ© c'est l'attitude des instructeurs. Ils respectent le niveau de chacun, sans jugement, et ils sont vraiment patients. Quand tu viens d'un univers complĂštement diffĂ©rent et que tu galĂšres sur un concept, c'est important de sentir que tu peux poser tes questions sans stress.Bref, si vous hĂ©sitez Ă sauter le pas pour une reconversion dans la data, c'est un trĂšs bon point de dĂ©part đ
Student 2026
I was already working as a Data Analyst and wanted to go deeper into data science without having to quit everything for a year-long program. Jedha's format really worked for me on that front, it's accessible and flexible enough to make it happen.What I appreciated most is how well balanced the program is between theory and practice. You get the concepts explained clearly in the morning and then you actually apply them, which is key when you're learning things like machine learning and deep learning. It's one thing to understand the math behind an algorithm, it's another to actually build and train a model yourself.The teachers were all solid communicators, they know how to make complex topics understandable without dumbing things down. But honestly a special mention goes to the TAs, they did a tremendous job. Whenever you're stuck on a bug or confused about an approach, they're right there to help you move forward. That kind of support makes a real difference when the pace picks up toward the end of the bootcamp.If you're a data analyst looking to level up into data science, this is a really efficient way to get there đ
Graduate 2026
Je bossais dĂ©jĂ dans la data en tant que chargĂ©e d'Ă©tudes marketing en institut de sondage, je cĂŽtoyais des data scientists au quotidien mais sans vraiment maĂźtriser leurs outils. Je voulais aller plus loin que l'analyse classique et comprendre le machine learning et l'IA, pas juste en surface mais vraiment mettre les mains dedans.Ce que j'ai beaucoup apprĂ©ciĂ© chez Jedha c'est la construction du parcours. On sent que c'est pensĂ© pour donner une vision globale du cycle d'un projet data, du traitement des donnĂ©es jusqu'au dĂ©ploiement. Et surtout, y'a Ă©normĂ©ment de mises en pratique, c'est pas juste de la thĂ©orie. On code, on teste, on se trompe, on recommence.Les profs sont vraiment top niveau pĂ©dagogie. Ils sont dans l'Ă©change, ils te poussent Ă comprendre par toi-mĂȘme plutĂŽt que de juste te donner la rĂ©ponse. Et les TA sont toujours lĂ quand tu bloques, ce qui arrive forcĂ©ment quand tu dĂ©couvres Python et Pandas đ Le fait d'ĂȘtre en prĂ©sentiel avec une promo Ă taille humaine, ça aide aussi Ă©normĂ©ment pour la dynamique de groupe et pour oser poser ses questions.Bref, si comme moi vous ĂȘtes dĂ©jĂ dans l'univers data mais que vous voulez passer un cap cĂŽtĂ© machine learning et IA, foncez.
Student 2026
Jâai Ă©normĂ©ment appris grĂące Ă la formation chez Jedha. Le programme est structurĂ©, progressif et surtout trĂšs concret. Chaque notion thĂ©orique est immĂ©diatement mise en pratique, ce qui permet une vraie comprĂ©hension et pas seulement un apprentissage superficiel.Les formateurs sont pĂ©dagogues, disponibles et rĂ©ellement investis dans la rĂ©ussite des Ă©tudiants. Ils prennent le temps dâexpliquer, de reformuler et dâaccompagner individuellement quand câest nĂ©cessaire. Lâambiance est stimulante et bienveillante, ce qui donne envie dâaller plus loin.Cette formation mâa permis de mieux comprendre lâintelligence artificielle, le machine learning et la logique derriĂšre les modĂšles, mais aussi de gagner en autonomie sur le plan technique. Aujourdâhui, je me sens beaucoup plus Ă lâaise avec le code et avec la maniĂšre de structurer un projet data ou IA.Au-delĂ des compĂ©tences techniques, jâai aussi dĂ©veloppĂ© une nouvelle façon de rĂ©flĂ©chir et dâaborder les problĂšmes. Câest une formation exigeante mais extrĂȘmement enrichissante.Je recommande vivement Jedha Ă toute personne qui souhaite vraiment monter en compĂ©tence en data ou en intelligence artificielle.
Student 2025
Je nâavais aucune expĂ©rience avant Jedha. Jâai choisi cette Ă©cole pour son sĂ©rieux et ses mĂ©thodes pĂ©dagogiques modernes, et je ne regrette pas. Le parcours Data Engineering mâa permis dâacquĂ©rir de vraies compĂ©tences pro, avec un programme qui va au-delĂ des bases pour aborder des points plus avancĂ©s, trĂšs recherchĂ©s sur le marchĂ©. Les formateurs et les TA sont bienveillants, disponibles et nous accompagnent vraiment du dĂ©but Ă la fin. Jâadore Jedha, merci pour tout.
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