Mentor-led training that helps beginners and career switchers become job-ready Data Engineering professionals. Build real datasets, SQL projects, Python pipelines, dashboards, AI workflows, RAG systems, and deployable portfolio projects.
From first resume edit to interview prep. Get support with LinkedIn, GitHub portfolio, mock interviews, job applications, and recruiter-ready positioning until you are ready to compete for data roles.
Our students train for the data roles modern companies are hiring for.
Accenture
CrowdStrike
Palo Alto
Cisco
AI is changing every industry. But AI is only as powerful as the data behind it. Every dashboard, prediction, automation, chatbot, and business decision depends on clean, reliable, well-structured data. Companies need professionals who can collect data, transform it, automate it, model it, and deliver it into systems that drive real outcomes. That is why Data Engineering is one of the most future-ready paths in tech.
The market reality:
"AI is moving fast. The people who know how to prepare, move, and operationalize data will move with it."
This is not just a course. It is a career identity shift.
You start with the fundamentals. You graduate with real projects, real tools, and a stronger story for data roles.
Our instructors are not just teaching concepts. They bring practical experience across analytics, data systems, dashboards, AI workflows, cloud tools, and career preparation.
Every lesson is built around what students need to do in the real world: clean data, query databases, automate workflows, build dashboards, evaluate AI outputs, and present portfolio-ready solutions.
Analytics & BI Instructor
With over a decade of experience, Fayek specializes in data engineering and analytics at top-tier companies like Veruna Inc. and OUTFRONT Media. His expertise lies in Python pipelines, SQL, and agile data workflows, consistently delivering impactful results. Passionate about mentoring, Fayek is dedicated to shaping the next generation of Data Engineers.
Connect on LinkedIn
Build job-ready data and AI skills through a structured, hands-on curriculum. Each module gives you practical experience with real datasets, business problems, technical tools, and portfolio-ready deliverables.
You will move from foundations to databases, Python pipelines, BI dashboards, machine learning, GenAI workflows, RAG systems, deployment, and career preparation.
Understand the data ecosystem, analytics lifecycle, business metrics, and how raw data becomes useful insight. Learn how to clean, organize, summarize, and communicate data using business-ready analysis workflows.
Core Activities
Labs & Tools
Master relational databases, analytical querying, data modeling basics, joins, CTEs, window functions, and business-focused SQL case studies. Learn how to turn raw tables into answers decision-makers can use.
Core Activities
Labs & Tools
Use Python to clean, merge, transform, and prepare real datasets. Learn practical ETL and ELT workflows, Python-to-SQL pipelines, and the foundations of repeatable data processing.
Core Activities
Labs & Tools
Learn to transform trends, KPIs, and business questions into executive-ready dashboards and clear data stories. Practice visual analytics with modern BI and Python visualization tools.
Core Activities
Labs & Tools
Learn the core statistics, machine learning, and deep learning concepts used in modern analytics and AI workflows. Build predictive and segmentation models using real-world use cases.
Core Activities
Labs & Tools
Learn how to use GenAI responsibly inside data workflows. Practice prompt engineering, output evaluation, hallucination checks, bias awareness, LLM comparison, and workflow optimization.
Core Activities
Labs & Tools
Learn the architecture behind RAG-powered applications. Work with LangChain concepts, vector databases, document Q&A, retrievers, and retrieval quality so you can build practical AI data workflows.
Core Activities
Labs & Tools
Build, containerize, and present a portfolio-ready AI data application. Learn full-stack integration basics, APIs, interfaces, deployment workflows, GitHub presentation, resume positioning, LinkedIn strategy, and interview preparation.
Capstone Project + Demo Day: Finish with a portfolio-ready, end-to-end AI-driven analytics solution that demonstrates data preparation, business analysis, predictive modeling or GenAI workflows, deployment, and presentation skills. Capstone options: AI-driven business intelligence solution · RAG-powered knowledge assistant · Full-stack AI product demo.
Core Activities
Labs & Tools
Data analytics · Data engineering · BI dashboards · Cloud workflows · AI-powered data products.
By graduation, you will be fluent in the tools, workflows, and project language used across data, analytics, cloud, and AI teams.
Our proven roadmap from your first free call to building job-ready data skills, portfolio projects, and a stronger path into tech.
Meet a real advisor. Clarify your goals. Walk away with a personalized roadmap before you pay a dollar.
Enroll online in minutes. Get instant access to 80+ hours of lectures, labs, and our full LMS.
Live online classes with practical labs in SQL, Python, dashboards, AI workflows, and data projects you can show in interviews.
Work on real-world data scenarios. Build dashboards, pipelines, reports, and AI-powered projects you can present with confidence.
Mock interviews, SQL/Python drills, project walkthrough practice, resume coaching, and career storytelling until you can explain your work clearly.
Our career team helps position your resume, LinkedIn, and portfolio for data, analytics, and AI-focused roles.
Free consultation · No enrollment fee · Placement support included
Watch how students build real-world skills, gain confidence, and move toward job-ready careers in Data, Analytics, and AI with hands-on support from Transfotech Academy.
Transfotech Academy
From day one, you work with real datasets, real workflows, and the same categories of tools used by data teams to move, model, analyze, visualize, and activate business data.
┌──(data㉿transfotech)-[~/customer-insights]
└─$ python etl_customer_pipeline.py
[extract] reading raw customer + sales files
[clean] removing duplicates and null records
[transform] calculating retention and revenue KPIs
[load] writing curated tables to analytics warehouse
[validate] 24 checks passed
[publish] dashboard dataset refreshed Pipeline status: SUCCESS ✓
└─$ █
Real instructors, live. Ask questions, get feedback, and build alongside your cohort in real time.
Every class recorded. Every project saved. Rewatch lessons, revisit labs, and keep building even after the program ends.
Work with datasets, SQL databases, Python scripts, dashboards, AI workflows, and deployment projects. This is learning by doing.
Get guidance from instructors and mentors as you build projects, prepare your portfolio, and practice for interviews.
GenAI, prompt engineering, LLM evaluation, RAG workflows, and AI-assisted development are built into the learning path.
Evening-friendly learning, recordings, and structured assignments help you build new skills while balancing your current schedule.
Start with the foundations and build step by step toward SQL, Python, dashboards, AI workflows, deployment, and career readiness.
Every cohort is live, interactive, and supported by a full LMS with recordings, projects, assignments, and direct instructor access from day one.
Live sessions with instructors, direct Q&A, and recorded replays so you can stay on track and keep building.
Your own learning dashboard with modules, recordings, labs, quizzes, assignments, and project tracking.
Verified student reviews from learners who built confidence, gained hands-on experience, and moved closer to their career goals with Transfotech Academy.
"I'm thoroughly impressed with Transfotech Academy's course curriculum — it's truly exceptional. The instructors are highly experienced and skilled, providing hands-on training that's invaluable. I'm extremely satisfied with my experience, and I often wish I had joined them earlier to kickstart my career in data engineering."
"In this course, we did more practical work that most companies ask for. The Instructor is helpful and ingenious. I received my CEH certification — couldn't have done it without this program."
"The instructors here are knowledgeable and down-to-earth — they genuinely care about your future. It feels less like a school and more like a mentorship program."
"I started with zero knowledge. The team's honest approach, supportive instructors, and family-like treatment made the entire journey comfortable. I am now confidently job-ready."
"Their support team is outstanding and the constant job market updates they share kept me ahead of the curve throughout my job search. Highly recommend for newcomers."
"Transfotech Academy covers everything that will definitely help in cracking any interview based on software automation and testing. The curriculum depth and instructor's engaging style made all the difference."
"I learned a lot about Java and automation testing here. The learning sessions with instructors were very lively. Fast forward a few months — I got a job at Accenture as a QA Analyst."
"I can simulate and co-relate the course material with my real-time project. The organized content and recording facilities for later review set Transfotech apart from any other institute."
"My success in IT is owed to Transfotech Academy. Before joining I wasn't sure about my career path. They provide hands-on training and job placement support that transformed me into a confident data engineering professional."
Our graduates build practical skills for data, analytics, AI, and business intelligence roles across startups, enterprises, and modern digital teams.
"The hands-on labs and AI-integrated curriculum gave me the edge I needed to land my first data analyst role."
"Real-world pipeline labs prepared me better than any certification course I've taken."
"From zero coding background to Analytics Engineer — the mentorship and placement support made all the difference."
"The AI and data pipeline modules were unlike anything else out there. I referenced them in every interview."
Through hands-on labs and portfolio projects, you will work on realistic data scenarios and walk away with project evidence you can show in interviews.
You will build dashboards, SQL projects, Python pipelines, AI workflows, RAG systems, and deployable applications that prove you can use the tools.
Clean and analyze real datasets, build pivot-table summaries, identify KPIs, and present insight-ready business reports.
Create and query analytical databases. Use joins, CTEs, and window functions to solve sales, customer, and retention problems.
Use Python, Pandas, NumPy, and ETL workflows to clean, merge, transform, and prepare raw data for analysis.
Build interactive dashboards in Tableau or Power BI and turn trends, metrics, and KPIs into decision-ready visuals.
Build predictive and segmentation models, compare approaches, and explain model outcomes using real-world use cases.
Compare LLM outputs, evaluate prompts, identify hallucination risks, and improve GenAI workflows for business use cases.
Build a RAG-powered assistant using LangChain concepts, vector search, document Q&A, and retrieval quality workflows.
Containerize and deploy an AI-powered data app using APIs, interfaces, Docker, GitHub, and deployment workflows.
This program prepares you for roles across data analytics, business intelligence, data engineering, AI workflows, and fullstack analytics. You graduate with skills that connect raw data to real business value.
From your first login to your final project presentation, you do not have to figure this out alone.
End-to-end career support from your first resume edit to the moment you are ready to interview with confidence.
Three flexible payment paths. No enrollment fee. No risk — job guarantee or 100% of your tuition back.
$500 / month × 10 months
+ $499 / month × 1 month
$1,000 / month × 3 months
$999 / month × 1 month
Transfotech Academy
Certificate of Completion
Data Engineering (Fullstack)
Awarded to
Your Full Name
Graduate with a Transfotech Academy Data Engineering (Fullstack) Certificate recognized by hiring managers across U.S. tech companies.
Secure your spot now. Once seats fill up, enrollment closes until the next cohort — no exceptions.
⚠ Only 7 spots remaining — enrollment closes when capacity is reached
$500 tuition discount for this cohort only
1:1 session with a senior advisor before you start
First-access to 100+ hiring partner network
Free 20-min call · No commitment · Spot reserved after consultation
No. The program starts with foundations and builds step by step. You will learn Excel, SQL, Python, dashboards, AI workflows, deployment basics, and career preparation through guided practice.
The curriculum is designed as an 18-week intensive or flexible part-time learning path, depending on cohort format and schedule.
Plan for consistent weekly learning time for live classes, recordings, labs, assignments, and portfolio project work.
Both. Attend live classes for real-time guidance and use LMS recordings to review lessons, catch up, and keep building at your pace.
You will work with tools and workflows across Python, SQL, Excel, Pandas, NumPy, Tableau, Power BI, Docker, GitHub, LangChain, vector databases, LLM evaluation, RAG workflows, and deployment. The program also introduces modern data engineering concepts including Spark, Kafka, Airflow, cloud data platforms, Snowflake, BigQuery, AWS, Azure, and GCP.
You will build a Business Data Insight Pack, Sales Analytics SQL Project, Customer Insights Data Pipeline, Executive Dashboard, ML and Deep Learning project, LLM Evaluation portfolio, Custom RAG Pipeline, Full-Stack AI Application, and a final capstone project.
The program helps prepare you for pathways such as Data Analyst, BI Analyst, Junior Data Engineer, ETL Developer, Analytics Engineer, AI Data Engineer, RAG Pipeline Developer, and Full-Stack Analytics Engineer.
Yes. Career support includes resume building, LinkedIn optimization, GitHub portfolio guidance, mock interviews, project storytelling, job search guidance, and mentorship.
Yes. Graduates receive a Transfotech Academy Data Engineering (Fullstack) Certificate covering the 8-module curriculum and capstone project work.
Yes. The program is designed with flexible learning support, live sessions, recordings, and structured assignments so working adults can participate.
Transfotech combines live instruction, hands-on projects, AI-integrated learning, career support, mentorship, LMS access, and portfolio-ready outcomes in one structured program.
That is exactly what the free consultation call is for. In 20 minutes, an advisor can help you understand the curriculum, expectations, schedule, and whether this program fits your goals.
Talk to a Career Advisor. No pressure, no sales pitch — just a clear answer on whether this program is right for you.
Free · 20 minutes · Placement support until hired · Next cohort starts soon