Explore Our Courses
Interview-Ready Courses Designed to Get You Hired Quickly — Because We Believe You Deserve to Get a Job with a Great Package, as Soon as Possible.
Data Engineering
- Learn Python and SQL for data processing
- Understand databases and
- Explore data modeling basics
- Practice with mini SQL projects
- Introduction to Snowflake & data warehouse concepts
- Load, transform, and manage data at scale
- Work with structured & semi-structured data (JSON, CSV)
- Implement role-based access & data masking
- Build scalable SQL models
- Automate data transformation workflows
- Add testing, documentation, and version control
- Connect DBT to Snowflake
- Automate workflows with Python-based DAGs
- Schedule and monitor pipeline tasks
- Integrate Airflow with Snowflake and S3
- Deploy daily refresh jobs
- Work with files, APIs, and data structures
- Use Pandas and NumPy for transformations
- Connect Python to Snowflake
- Build data ingestion scripts
- Store & access data with AWS S3
- Automate tasks using AWS Lambda
- Basics of Docker and Terraform (optional)
- Learn shell scripting and Git
- Build a full data pipeline for a real business case
- Use Snowflake + DBT + Airflow end-to-end
- Automate data loading, transformation, and reporting
- Present insights via dashboards (Power BI / Tableau)
- Build a full data pipeline for a real business case
- Use Snowflake + DBT + Airflow end-to-end
- Automate data loading, transformation, and reporting
- Present insights via dashboards (Power BI / Tableau)
Data Analyst Curriculum
- Master Excel formulas, pivot tables, and charts
- Clean and organize data efficiently
- Work with real-world business datasets
- Perform basic descriptive analytics
- Write complex SQL queries to extract insights
- Use JOINs, subqueries, aggregations, and window functions
- Perform data filtering and transformation
- Practice with business case SQL challenges
- Build interactive dashboards and charts
- Connect BI tools to databases like Snowflake or Excel
- Use filters, slicers, and drill-downs for deep insights
- Design business-ready reports
- Understand measures of central tendency and variability
- Apply correlation, regression, and hypothesis testing
- Interpret patterns and trends in data
- Make data-driven recommendations
- Use Pandas and NumPy for data manipulation
- Visualize data with Matplotlib and Seaborn
- Perform exploratory data analysis (EDA)
- Automate repetitive tasks and reporting
- Identify KPIs and business metrics
- Solve real-world case studies (sales, marketing, finance)
- Analyze customer behavior and performance trends
- Present findings with storytelling
- Solve a complete business case end-to-end
- Use SQL + Python + BI tool on real datasets
- Build a professional dashboard with actionable insights
- Present findings like a real analyst in interviews
- Build resume & LinkedIn tailored to analyst roles
- Mock interviews with real industry analysts
- Profile reviews and GitHub/portfolio support
- Interview opportunities with DreamSwitch hiring partners
Data Science and Machine Learning
- Learn Python fundamentals and advanced data handling
- Work with Pandas, NumPy, and real datasets
- Use Matplotlib and Seaborn for data visualization
- Automate analysis with scripts and reusable functions
- Understand data distributions and summary statistics
- Apply probability and hypothesis testing
- Solve real-world business scenarios with statistical logic
- Use analytics to guide business decisions
- Extract and manipulate data using SQL queries
- Work with MySQL and NoSQL (MongoDB) for analysis
- Use JOINs, filtering, and aggregations for insights
- Learn database schema and optimization basics
- Build and evaluate ML models using Scikit-Learn
- Apply regression, classification, clustering techniques
- Understand model metrics like accuracy, F1, AUC
- Solve problems in sales, marketing, and finance
- Introduction to cloud platforms: AWS & Azure
- Store, retrieve, and analyze data using cloud services
- Use Git and GitHub for version control & collaboration
- Understand JIRA and project management workflows
- Explore NLP fundamentals using NLTK and HuggingFace
- Work with text data: tokenization, stop words, sentiment
- Introduction to ChatGPT-style tools and use cases
- Real-world tasks: Resume parsing, chatbot logic, etc.
- Build a complete data science project from raw data to insight
- Combine Python, SQL, ML, and visualization
- Host code and dashboard on GitHub
- Present a case study that recruiters love
- Build a professional resume and online presence
- Practice mock interviews with real data scientists
- Get referrals and job opportunities via DreamSwitch partners
- Learn to showcase your portfolio and communicate your impact
Generative AI
- Understand what Generative AI is and how it's disrupting industries
- Compare discriminative vs. generative models
- Overview of Transformer architecture and its evolution
- Key tools: OpenAI, Hugging Face, LangChain, Vector DBs
- Deep dive into GPT, LLaMA, Claude, Mistral, and other leading models
- Prompt engineering techniques: zero-shot, few-shot, chain-of-thought
- Fine-tuning vs. instruction-tuning vs. retrieval-augmented generation (RAG)
- Hands-on with OpenAI API, Hugging Face Transformers, and model deployment
- Introduction to autonomous AI agents and frameworks (AutoGPT, BabyAGI, LangGraph)
- Architectures of Agentive AI: planning, memory, tools, feedback
- Building multi-step AI workflows using LangChain Agents or CrewAI
- Case study: Deploy an AI assistant that schedules, researches, and writes reports
- LLMOps lifecycle: building, evaluating, deploying, and monitoring
- Tracking experiments and prompts (Weights & Biases, LangSmith)
- Evaluate hallucination, relevance, coherence with metrics and feedback
- Continuous improvement via prompt tuning and RAG pipelines
- Combine text with vision, audio, or video (e.g., GPT-4V, LLaVA, Gemini)
- Generate and interpret images using tools like DALL·E, Midjourney
- Use OCR and visual question answering in applications
- Build a text+image processing AI system
- Use LLMs to generate SQL, write Python, and summarize dashboards
- Automate reporting, insights extraction, and EDA
- Build a GenAI-powered data assistant connected to Snowflake or BigQuery
- Case study: Create a business insights chatbot
- Address hallucinations, bias, toxicity, and data leakage
- Secure and compliant LLM usage (GDPR, SOC2 considerations)
- Techniques: guardrails, moderation APIs, private LLMs
- Build a secure and ethical GenAI application framework
- Capstone: Build and present a full GenAI application (agent, assistant, or multimodal tool)
- Integrate LLM + RAG + UI + deployment
- Mock interviews: prompt engineer, AI product specialist, GenAI architect
- Resume, GitHub, LinkedIn polish + access to DreamSwitch hiring network
Our Alumni Network
Our graduates work at world-class financial institutions and leading companies
Meet Our Mentors
Our mentors bring years of real-world experience to guide your journey
Omkar Narayanpure
Data Engineer, Apple
LinkedIn Profile
With over 5 years of experience in building high-performance data systems, he has cracked interviews at top companies and mastered the art of career switching. He has personally mentored 200+ professionals to successfully transition into data roles and other fields.
Vivek Upadhyay
Full Stack Developer, BlackRock
LinkedIn Profile
With 6+ years of hands-on experience, Vivek has built scalable software solutions at top-tier companies like BlackRock, MSCI, and Samsung Research. He has cracked multiple product company interviews and brings deep expertise in system design, frontend frameworks, and cloud platforms.
Mithlesh Sahu
Sr Data Analyst, Asian Paints
LinkedIn Profile
experience in building high-performance data systems, he has cracked interviews at top companies and mastered the art of career switching. He has personally mentored 100+ professionals to successfully transition into data roles and other fields.also guided over 100+ students to get thier dream job
Success Stories from Our Learners
Hear from the people who have transformed their careers with DreamSwitch
Purvi Gupta
Sr Data Engineer, Expedia Group
"With a 90-day notice period, I wasn’t getting enough interview calls and felt stuck. DreamSwitch guided me through the transition and helped me get multiple opportunities."
Manish Awasthi
Sr Data Engineer, Apple
"As someone without a Data Enginerring background, I was worried about transitioning to this field. Data engineering course helped me build solid foundation, and the career support was exceptional."
Divyani jain
Sr Full Stack Developer, IBM
I had the knowledge but didn’t know how to package it. DreamSwitch helped me build a standout profile and gave me the interview prep that made all the difference"
Sneha Chamwad
Sr Android Developer, L&T Finance Group
"The mock interviews and negotiation scripts gave me an edge I didn’t even know I needed. I entered interviews with clarity, and came out with offers."
Frequently Asked Questions
Explore the most common queries about DreamSwitch programs.
- Our programs are designed for:
- Working professionals looking to switch careers
- Job seekers stuck in long notice periods
- Freshers entering the job market