Popular Searches

Digital Marketing AI Data Science Machine Learning Data Analytics SEO Social Media Marketing Python JavaScript

Expert

12 Months Course

Advanced

6 Months Course

Beginner

3-4 Months Course

Short Course

1 Month Course

Free

Free Courses

scholar icon

Learn From the Top Experts

Advanced Certification in Data Science & AI

Master Python, ML, Data Visualization, and end-to-end AI solutions with DizitalAdda’s 6-month hybrid Advanced Data Science & AI program. Build real-world projects, deploy models, and prepare for top roles in data science, analytics, and AI engineering.

  • Learn from Industry Experts
  • Hands-on Projects + Capstone
  • Cloud & AI Deployment Skills
  • 100% Placement & Interview Support

Let's Discuss What You Want

I want to know what's latest in market

Duration: 6 Months / 144 Hours Mode: Hybrid (Online + Offline) 100% Placement Support Rating: 4.63 ★ (830 ratings) Level: Beginner Friendly

Key Skills Covered

Python SQL Data Analysis Power BI Seaborn Plotly Machine Learning Deep Learning Pandas NumPy Scikit-learn TensorFlow PyTorch PySpark AWS GCP Azure Flask FastAPI Streamlit Model Deployment Git GitHub Docker MLOps Domain-Based Projects Capstone Project Resume Building LinkedIn Optimization GitHub Portfolio Interview Preparation

Build Skills That Companies Are Looking For

Our curriculum is designed to match real industry needs, so you're job-ready for roles at companies like TCS, Wipro, Google, and Infosys.

TCS Wipro Google Microsoft Infosys

*Companies mentioned are examples of industry relevance. Logos shown for aspirational and educational purposes only.

Course Modules

Foundation & Setup

  • Set up Python & tools
  • Master Python basics
  • Use Jupyter notebooks
  • Explore Pandas & NumPy
  • Set up Git versioning
Python Pandas NumPy Jupyter Notebook Git

Data Analysis & Preprocessing

  • Use stats for analysis
  • Handle missing values
  • Detect & fix outliers
  • Apply feature scaling
  • Encode & prep datasets
Data Cleaning EDA Feature Engineering Data Visualization Preprocessing

Machine Learning Fundamentals

  • Learn key ML models
  • Split training/test sets
  • Evaluate model accuracy
  • Apply classification tools
  • Train with Scikit-learn
Regression Classification Model Evaluation Scikit-learn ML Algorithms

Advanced Machine Learning

  • Use ensemble methods
  • Explore SVM models
  • Hyperparameter tuning
  • Cross-validation techniques
  • Unsupervised learning basics
XGBoost Random Forest SVM Cross Validation Clustering

Artificial Intelligence & Deep Learning

  • Understand neural nets
  • Use CNN for images
  • Use RNN for sequences
  • Train with TensorFlow
  • Apply PyTorch models
Deep Learning TensorFlow PyTorch CNN RNN

Career Preparation & Capstone

  • Create project portfolio
  • Build data resume
  • Mock interview prep
  • Capstone project build
  • Showcase final skills
Portfolio Building Resume Writing Interview Prep Capstone Project Career Coaching

Scroll Right

What Have We Achieved?

graphic
  • DizitalAdda is a trusted name in tech training, with over 5,000+ successful students and an 85% placement rate. Our hands-on approach and industry-relevant curriculum have helped students land jobs at top companies like Google, Amazon, and Microsoft. We equip learners with the skills needed to excel in the ever-evolving tech world.
  • 1000+ students trained in AI & ML tools : Learners gain hands-on mastery in Python, SQL, Scikit-learn, and TensorFlow — covering EDA, machine learning, deep learning, NLP, and BI tools to build real-world, production-ready models.
  • Proven placements in Data Science roles : Alumni succeed as Data Scientists and BI Analysts. Projects include predictive modeling, dashboarding, and NLP applications. The program includes portfolio building, career support, and mock interview prep.

Lets Do a Quick Campus Tour!

What Our Learners Say

"This course was a game-changer. The real-world datasets and expert guidance helped me secure my first Data Scientist role!"

— Anjali Sharma, Data Scientist

"Beyond just theory — we tackled complex data challenges and built predictive models! The practical approach made learning so much more effective."

— Rahul Verma, Data Analyst

"I loved the hybrid mode. It gave me the flexibility to study remotely while still engaging in live, interactive problem-solving sessions with instructors."

— Sneha Patel, Data Science Intern

Frequently Asked Questions

Frequently Asked Questions offers quick answers to common queries, guiding users through features effortlessly.

Which certification is best for data science?

Top options include IBM Data Science, Google Analytics, Azure Data Scientist, and CAP certifications.

Which is the best certification for AI?

Highly regarded options include Google AI (TensorFlow), Azure AI Engineer, Stanford AI (Coursera), and IBM AI Engineering.

Can I go into AI with data science?

Yes, data science provides foundational skills that make transitioning into AI a natural progression.

What is the salary of AI and DS professionals?

AI Engineers: $100K–$150K; Data Scientists: $90K–$130K. Experienced roles can go beyond $150K.

Which course is better, AI or data science?

AI is more specialized, while data science is more versatile and analytical. Your choice depends on career interests.

Is Google certification free?

Some like Google Data Analytics are free; advanced certifications like Google Cloud AI may require payment.

Is AI more difficult than data science?

Yes. AI includes deep learning and complex algorithms. Data science is more statistics and business-oriented.

What is the salary of an AI engineer?

Average salary: $100K–$160K, depending on expertise and location.

What is the salary of a data scientist?

Typically $90K–$130K per year, with senior roles going up to $150K+.

What is the future scope of AI and Data Science?

Both fields are rapidly growing and essential to modern industries, offering huge career opportunities and innovation potential.

Next Batch Starts In:
: :
Only 20 seats left