Category: Tutorials

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Data Engineering with Spark Databricks Delta Lake Lakehouse


Last updated 2/2025 MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.02 GB | Duration: 5h 3m​

Apache Spark Databricks Lakehouse Delta Lake Delta Tables Delta Caching Scala Python Data Engineering for beginners

What you’ll learn
Acquiring the necessary skills to qualify for an entry-level Data Engineering position
Developing a practical comprehension of Data Lakehouse concepts through hands-on experience
Learning to operate a Delta table by accessing its version history, recovering data, and utilizing time travel functionality
Optimizing a delta table with various techniques like caching, partitioning, and z-ordering for faster analytics
Obtaining practical knowledge in constructing a data pipeline through the usage of Apache Spark on the Databricks platform
Doin analytics within a Databricks AWS Account

Requirements
Some understanding of Database and SQL queries

Description
Data Engineering is a vital component of modern data-driven businesses. The ability to process, manage, and analyze large-scale data sets is a core requirement for organizations that want to stay competitive. In this course, you will learn how to build a data pipeline using Apache Spark on Databricks’ Lakehouse architecture. This will give you practical experience in working with Spark and Lakehouse concepts, as well as the skills needed to excel as a Data Engineer in a real-world environment.Throughout the Course, You Will Learn:Conducting analytics using Python and Scala with Spark.Applying Spark SQL and Databricks SQL for analytics.Developing a data pipeline with Apache Spark.Becoming proficient in Databricks’ community edition.Managing a Delta table by accessing version history, restoring data, and utilizing time travel features.Optimizing query performance using Delta Cache.Working with Delta Tables and Databricks File System.Gaining insights into real-world scenarios from experienced instructors.Course Structure:Beginning with familiarizing yourself with Databricks’ community edition and creating a basic pipeline using Spark.Progressing to more complex topics after gaining comfort with the platform.Learning analytics with Spark using Python and Scala, including Spark transformations, actions, joins, Spark SQL, and DataFrame APIs.Acquiring the knowledge and skills to operate a Delta table, including accessing its version history, restoring data, and utilizing time travel functionality using Spark and Databricks SQL.Understanding how to use Delta Cache to optimize query performance.Optional Lectures on AWS Integration:’Setting up Databricks Account on AWS’ and ‘Running Notebooks Within a Databricks AWS Account.’Building an ETL pipeline with Delta Live TablesProviding additional opportunities to explore Databricks within the AWS ecosystem.This course is designed for Data Engineering beginners with no prior knowledge of Python and Scala required. However, some familiarity with databases and SQL is necessary to succeed in this course. Upon completion, you will have the skills and knowledge required to succeed in a real-world Data Engineer role.Throughout the course, you will work with hands-on examples and real-world scenarios to apply the concepts you learn. By the end of the course, you will have the practical experience and skills required to understand Spark and Lakehouse concepts, and to build a scalable and reliable data pipeline using Spark on Databricks’ Lakehouse architecture.

Data Engineering beginners


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Data Analysis with Polars and Python


6.28 GB | 8min 45s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​
Files Included :
FileName :001 Welcome to Polars.mp4 | Size: (90.56 MB)
FileName :002 [macOS] Intro to Terminal.mp4 | Size: (56.19 MB)
FileName :003 [macOS] Install uv, a Python package and project manager.mp4 | Size: (20.1 MB)
FileName :004 [macOS] Download Course Materials and Setup Project.mp4 | Size: (12.63 MB)
FileName :005 [Windows] Intro to PowerShell.mp4 | Size: (30.63 MB)
FileName :006 [Windows] Install uv, a Python package and project manager.mp4 | Size: (17.23 MB)
FileName :007 [Windows] Download Course Materials and Setup Project.mp4 | Size: (17.99 MB)
FileName :008 Jupyter Lab Startup and Shutdown.mp4 | Size: (31.41 MB)
FileName :009 Intro to Jupyter Lab.mp4 | Size: (43.8 MB)
FileName :010 Setting Up Ruff Formatter in Jupyter Lab.mp4 | Size: (5.63 MB)
FileName :011 Import Libraries into Jupyter Lab.mp4 | Size: (13.15 MB)
FileName :001 Comments.mp4 | Size: (19.08 MB)
FileName :002 Data Types.mp4 | Size: (29.32 MB)
FileName :003 Operators.mp4 | Size: (38.47 MB)
FileName :004 Equality and Inequality Operators.mp4 | Size: (27.4 MB)
FileName :005 Variables.mp4 | Size: (21.1 MB)
FileName :006 Built-In Functions.mp4 | Size: (52.92 MB)
FileName :007 Custom Functions.mp4 | Size: (61.2 MB)
FileName :008 String Methods.mp4 | Size: (67.24 MB)
FileName :009 Lists.mp4 | Size: (39.65 MB)
FileName :010 Index Positions and Slicing.mp4 | Size: (53 MB)
FileName :011 Tuples.mp4 | Size: (22.05 MB)
FileName :012 Dictionaries.mp4 | Size: (43.68 MB)
FileName :013 Classes and Objects.mp4 | Size: (27.37 MB)
FileName :014 Importing Modules.mp4 | Size: (42.51 MB)
FileName :015 Importing Libraries.mp4 | Size: (11.34 MB)
FileName :016 Unsigned and Signed Integers.mp4 | Size: (73.5 MB)
FileName :001 Import the Polars Series.mp4 | Size: (18.08 MB)
FileName :002 Create a Series.mp4 | Size: (36.97 MB)
FileName :003 Data Type Inference.mp4 | Size: (36.88 MB)
FileName :004 Attributes.mp4 | Size: (11.14 MB)
FileName :005 Missing Values.mp4 | Size: (21.22 MB)
FileName :006 The alias Method.mp4 | Size: (14.56 MB)
FileName :007 Import a CSV File with the read csv Function.mp4 | Size: (39.37 MB)
FileName :008 The head and tail Methods.mp4 | Size: (22.81 MB)
FileName :009 Memory Optimization and the schema overrides Parameter.mp4 | Size: (42.73 MB)
FileName :010 Sorting a Series.mp4 | Size: (21.3 MB)
FileName :011 Mathematical Methods.mp4 | Size: (21.58 MB)
FileName :012 Rounding Methods.mp4 | Size: (10.78 MB)
FileName :013 How Polars Differs from Pandas.mp4 | Size: (48.43 MB)
FileName :001 Intro to DataFrames.mp4 | Size: (10.76 MB)
FileName :002 Create a DataFrame from Scratch.mp4 | Size: (9.02 MB)
FileName :003 Read a DataFrame from CSV.mp4 | Size: (31.62 MB)
FileName :004 No Index, No Problem.mp4 | Size: (19.21 MB)
FileName :005 Intro to Expressions.mp4 | Size: (25.72 MB)
FileName :006 The select Method I.mp4 | Size: (23.74 MB)
FileName :007 Renaming Columns.mp4 | Size: (33.76 MB)
FileName :008 The select Method II.mp4 | Size: (40.55 MB)
FileName :009 The select Method III – Targeting by Data Type.mp4 | Size: (15.68 MB)
FileName :010 Expressions as Building Blocks.mp4 | Size: (18.65 MB)
FileName :011 Expressions that Count Values.mp4 | Size: (27.88 MB)
FileName :012 Extracting One or More Rows.mp4 | Size: (24.63 MB)
FileName :013 List Slicing Syntax.mp4 | Size: (23.76 MB)
FileName :014 Expressions that Target Row Values.mp4 | Size: (20.42 MB)
FileName :015 Extracting a Single Value from DataFrame with the item Method.mp4 | Size: (13.09 MB)
FileName :016 Extracting Rows by Index Positions with the gather and gather every Methods.mp4 | Size: (16.29 MB)
FileName :017 Extracting a Random Set of Values.mp4 | Size: (9.73 MB)
FileName :018 Casting Columns to Different Types.mp4 | Size: (21.2 MB)
FileName :019 Customizing the DataFrame Schema.mp4 | Size: (24.15 MB)
FileName :020 Renaming Columns.mp4 | Size: (15.85 MB)
FileName :021 The name Attribute.mp4 | Size: (22.63 MB)
FileName :022 Dropping Columns.mp4 | Size: (13.32 MB)
FileName :023 Replacing Values.mp4 | Size: (10.15 MB)
FileName :024 Mathematical Operations I.mp4 | Size: (42.61 MB)
FileName :025 Mathematical Operations II.mp4 | Size: (14.25 MB)
FileName :026 Cumulative Mathematical Operations.mp4 | Size: (26.2 MB)
FileName :027 The with columns Method.mp4 | Size: (36.2 MB)
FileName :028 The all and exclude Functions.mp4 | Size: (21.87 MB)
FileName :001 The fill null Method.mp4 | Size: (46.02 MB)
FileName :002 Interpolation.mp4 | Size: (18.07 MB)
FileName :003 Dropping Missing Data.mp4 | Size: (41.09 MB)
FileName :004 Sorting by a Single Column.mp4 | Size: (51.06 MB)
FileName :005 Sorting by Multiple Columns I.mp4 | Size: (29.9 MB)
FileName :006 Sorting by Multiple Columns II.mp4 | Size: (33.23 MB)
FileName :007 Characters vs Bytes.mp4 | Size: (35.56 MB)
FileName :008 Sorting based on Expressions.mp4 | Size: (29.56 MB)
FileName :009 The top k and bottom k Methods.mp4 | Size: (13.34 MB)
FileName :010 The rank Method.mp4 | Size: (22.1 MB)
FileName :011 The shuffle Method.mp4 | Size: (19.22 MB)
FileName :012 Counting and Extracting Unique Values.mp4 | Size: (25.84 MB)
FileName :013 The value counts Method.mp4 | Size: (28.69 MB)
FileName :001 Introducing the Dataset.mp4 | Size: (16.98 MB)
FileName :002 The filter Method.mp4 | Size: (39.59 MB)
FileName :003 Filtering with Mathematical Operators.mp4 | Size: (24.88 MB)
FileName :004 Filtering with Missing Values.mp4 | Size: (38.11 MB)
FileName :005 Filtering with Boolean Columns.mp4 | Size: (11.64 MB)
FileName :006 Applying And Logic (Multiple Boolean Expressions).mp4 | Size: (58.94 MB)
FileName :007 Keyword Argument Filtering.mp4 | Size: (15.28 MB)
FileName :008 Applying Or Logic.mp4 | Size: (26.51 MB)
FileName :009 Operator Precedence.mp4 | Size: (24.21 MB)
FileName :010 Applying Exclusive OR (xor) Logic.mp4 | Size: (12.77 MB)
FileName :011 Filtering for Unique and Duplicate Values.mp4 | Size: (27.27 MB)
FileName :012 Filtering with Datetimes.mp4 | Size: (42.84 MB)
FileName :013 The is between Method.mp4 | Size: (32.54 MB)
FileName :014 The is in Method.mp4 | Size: (13.15 MB)
FileName :015 The remove Method.mp4 | Size: (29.31 MB)
FileName :016 Negation with Tilde Symbol.mp4 | Size: (30.39 MB)
FileName :017 When, Then, Otherwise.mp4 | Size: (33.33 MB)
FileName :018 Partitioning DataFrames.mp4 | Size: (50.12 MB)
FileName :001 Introducing the Datasets.mp4 | Size: (20.94 MB)
FileName :002 Inner Joins.mp4 | Size: (58.2 MB)
FileName :003 The on Parameter.mp4 | Size: (10.75 MB)
FileName :004 Full Joins.mp4 | Size: (36.11 MB)
FileName :005 Left and Right Joins.mp4 | Size: (24.73 MB)
FileName :006 Semi Join.mp4 | Size: (10.59 MB)
FileName :007 Anti Join.mp4 | Size: (9.69 MB)
FileName :008 Cross JoinsCartesian Products.mp4 | Size: (14.21 MB)
FileName :009 Joining on Multiple Columns.mp4 | Size: (33.69 MB)
FileName :010 The validate Parameter.mp4 | Size: (52.01 MB)
FileName :011 The join asof Method I.mp4 | Size: (47.64 MB)
FileName :012 The join asof Method II – Tolerance.mp4 | Size: (29.27 MB)
FileName :013 The join asof Method III – The by Parameter.mp4 | Size: (50.6 MB)
FileName :001 Vertical Concatenation.mp4 | Size: (15.12 MB)
FileName :002 Horizontal Concatenation.mp4 | Size: (16.43 MB)
FileName :003 Diagonal Concatenation.mp4 | Size: (15.59 MB)
FileName :004 Align Concatenation.mp4 | Size: (37.39 MB)
FileName :005 Relaxed Concatenation.mp4 | Size: (39.33 MB)
FileName :006 Rechunking.mp4 | Size: (66.27 MB)
FileName :007 The vstack Method.mp4 | Size: (51.16 MB)
FileName :008 The extend Method.mp4 | Size: (29.15 MB)
FileName :009 The hstack Method.mp4 | Size: (8.79 MB)
FileName :001 Wide vs Long DataFrames.mp4 | Size: (23.53 MB)
FileName :002 The unpivot Method to Convert a Wide DataFrame to a Long DataFrame.mp4 | Size: (26.65 MB)
FileName :003 The pivot Method to Convert a Long DataFrame to a Wide DataFrame.mp4 | Size: (16.47 MB)
FileName :004 Pivot Tables I.mp4 | Size: (27.41 MB)
FileName :005 Pivot Tables II.mp4 | Size: (17.72 MB)
FileName :006 The transpose Method.mp4 | Size: (14.69 MB)
FileName :001 Arrays and Lists.mp4 | Size: (35.05 MB)
FileName :002 The str split Method.mp4 | Size: (16.2 MB)
FileName :003 The list Namespace.mp4 | Size: (20.32 MB)
FileName :004 Sorting the Lists.mp4 | Size: (9.17 MB)
FileName :005 The explode Method.mp4 | Size: (12.57 MB)
FileName :006 Exploding with Multiple Columns of Lists.mp4 | Size: (28.1 MB)
FileName :007 Mathematical Operations.mp4 | Size: (20.91 MB)
FileName :008 The list eval, list any, and list all Methods.mp4 | Size: (31.79 MB)
FileName :009 Concatenating Column Values.mp4 | Size: (35.17 MB)
FileName :010 Arrays.mp4 | Size: (23.18 MB)
FileName :011 The arr Attribute.mp4 | Size: (15.61 MB)
FileName :001 Intro to Structs.mp4 | Size: (30.24 MB)
FileName :002 The struct field and unnest Methods.mp4 | Size: (13.76 MB)
FileName :003 The value counts Method.mp4 | Size: (22.27 MB)
FileName :004 Rename Struct Fields.mp4 | Size: (9.89 MB)
FileName :005 Using Structs to Work with Nested Data.mp4 | Size: (82.41 MB)
FileName :006 Using Structs to Identify Duplicates across Columns.mp4 | Size: (21.8 MB)
FileName :001 Introducing the Dataset.mp4 | Size: (13.05 MB)
FileName :002 Case Conversion.mp4 | Size: (19.69 MB)
FileName :003 Removing Whitespace.mp4 | Size: (23.55 MB)
FileName :004 Removing Prefix and Suffix.mp4 | Size: (18.41 MB)
FileName :005 Characters vs Bytes.mp4 | Size: (36.72 MB)
FileName :006 String Slicing.mp4 | Size: (20.26 MB)
FileName :007 Filtering Methods.mp4 | Size: (41.08 MB)
FileName :008 Regular Expressions.mp4 | Size: (34.95 MB)
FileName :009 Capture Groups.mp4 | Size: (42.89 MB)
FileName :010 Replacing Values.mp4 | Size: (23.14 MB)
FileName :011 Find Longest Employee Names.mp4 | Size: (36.5 MB)
FileName :001 Categorical Data.mp4 | Size: (37.93 MB)
FileName :002 The cat Namespace.mp4 | Size: (13.44 MB)
FileName :003 Enums.mp4 | Size: (31.39 MB)
FileName :004 Enums, Categoricals, and Sorting.mp4 | Size: (26.48 MB)
FileName :001 Import a Dataset with Datetimes.mp4 | Size: (31.37 MB)
FileName :002 Parse Datetimes with the strptime Method.mp4 | Size: (46.21 MB)
FileName :003 Parse Dates and Times.mp4 | Size: (22.29 MB)
FileName :004 Converting from Date to String.mp4 | Size: (28.09 MB)
FileName :005 Extracting Datetime Components.mp4 | Size: (28.9 MB)
FileName :006 Filtering by Date, Time, and Datetime.mp4 | Size: (49.11 MB)
FileName :007 Adding and Subtracting Time I.mp4 | Size: (29.78 MB)
FileName :008 Adding and Subtracting Time II.mp4 | Size: (24.9 MB)
FileName :009 Durations.mp4 | Size: (23.66 MB)
FileName :010 Timezones I.mp4 | Size: (62.83 MB)
FileName :011 Timezones II – Conversions.mp4 | Size: (22.98 MB)
FileName :001 A Review of Targeting Strategies.mp4 | Size: (38.99 MB)
FileName :002 Introducing Selectors.mp4 | Size: (14.55 MB)
FileName :003 Selecting by Data Type.mp4 | Size: (16.67 MB)
FileName :004 Selecting by Column Position.mp4 | Size: (14.47 MB)
FileName :005 Set Operations with Selectors.mp4 | Size: (42.93 MB)
FileName :001 Introducing our Dataset.mp4 | Size: (23.3 MB)
FileName :002 Intro to Grouping.mp4 | Size: (21.33 MB)
FileName :003 GroupBy Methods.mp4 | Size: (35.27 MB)
FileName :004 Largest and Smallest Values per Group.mp4 | Size: (22.14 MB)
FileName :005 Aggregations with the agg Method.mp4 | Size: (26.04 MB)
FileName :006 Using Selectors in Aggregations.mp4 | Size: (19.17 MB)
FileName :007 Grouping with Multiple Columns.mp4 | Size: (8.52 MB)
FileName :008 Grouping Temporal Data.mp4 | Size: (46.18 MB)
FileName :009 Window Functions and the over Method.mp4 | Size: (34.68 MB)
FileName :001 LazyFrames and Eager vs Lazy Evaluation.mp4 | Size: (23.74 MB)
FileName :002 The scan csv Function and the collect Method.mp4 | Size: (56.54 MB)
FileName :003 A Matter of Time.mp4 | Size: (12.84 MB)
FileName :004 Convert a DataFrame to a LazyFrame.mp4 | Size: (17.4 MB)
FileName :005 LazyFrame Limitations.mp4 | Size: (36.58 MB)]
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Daniel Garcia Project [vol.4-vol.6] / Daniel Garcia Project

Country : USA
Topic : Magic tricks
Type of material distributed : Video lesson
Duration : 3:30:02
Year of manufacture : 2010
Language : En
Translation : Absent

Description : A new seminar from Daniel Garcia, including tricks that were not included in the first three projects (for example, tricks from his other seminars), plus new tricks with cards, and more…
VOLUME 4: The long awaited, and highly anticipated extension to the Daniel Garcia Project is finally here. Picking up right where v3 left off, learn 9 visual effects including William Tell, Jacob’s Ladder, The DG Box Steal, The OG Transpo, Micro Dissolve, Scorch, iCard, Party Perception, and the highly acclaimed "TimeLine 2.0" from DG and theory11’s Symphony.
VOLUME 5: Not missing a beat, the project continues with another 9 creative effects using iPhones, drinking straws, lotto tickets, and more. Tricks include Void, In Visible Monte, Lotto, The Airbrush Change, .44, Math, The Gamblers Swap, iScatter, and Fire and Smoke, one of the most visual, unexpected Oil and Water routines we’ve seen.
VOLUME 6: Concluding the entire series with a bang, volume 6 teaches a whopping 10 visual effects using Tic-tacs, balloons, credit cards, and more. Tricks include V.I.S.A., One Point Production 2.0, Pop, Vortex, Ham and Cheese 2.0, Static Sandwich, On The Rocks, Tric-Tac, iATM, and The OK Coin Vanish.
The pictures in the distribution are needed for one of the tricks.
Quality : DVDRip
Format : MOV
Video codec : AVC
Video
Format: AVC
Format/Information: Advanced Video Codec
Profile format: Baseline@L3.0
CABAC format options: No
ReFrames format parameters: 2 frames
Codec Identifier : avc1
Codec Identifier/Info : Advanced Video Coding
Duration: 1 hour 23 minutes.
Bitrate type: Variable
Bitrate: 1497 Kbps
Width: 854 px.
Height: 480 px.
Frame ratio: 16:9
Frame Rate Mode: Constant
Frame rate: 29.970 fps
ColorSpace : YUV
ChromaSubsampling : 4:2:0
BitDepth/String : 8 bit
Scan type: Progressive
Bits/(Pixels*Frames) : 0.122
Stream Size : 899 MiB (85%)
Language: En
Encoding date: UTC 2010-11-16 06:08:02
Tag date: UTC 2010-11-16 07:26:29
Primary colors: BT.709-5, BT.1361, IEC 61966-2-4, SMPTE RP177
Transfer characteristics: BT.709-5, BT.1361
Matrix coefficients: BT.709-5, BT.1361, IEC 61966-2-4 709, SMPTE RP177
Audio Codec : AAC
Audio
Format: AAC
Format/Information: Advanced Audio Codec
Version format: Version 4
Format profile: LC
Codec ID : 40
Duration: 1 hour 23 minutes.
Bitrate type: Constant
Bitrate: 256 Kbps
Channel(s) : 2 channel(s)
Channel layout: Front: LR
Frequency: 48.0 KHz
Stream Size : 154 MiB (15%)
Language: En
Encoding date: UTC 2010-11-16 06:08:02
Tag date: UTC 2010-11-16 07:26:29

⋆🕷- – – – -☽───⛧ ⤝❖⤞ ⛧───☾ – – – -🕷⋆​

Daniel Garcia Project (3.43 GB)
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DALL-E and Adobe Firefly Course: AI Art Generation Ethically


Published 12/2023 MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 22m | Size: 1.1 GB​

Unleash Your Creativity with Adobe Firefly AI and DALL-E: Mastering AI Art and Content Generation from Scratch

What you’ll learn
AI and the most important of AI tools out there
How AI tools work and why we need them?
What is Generative AI and why now?
How Adobe Firefly AI works?
How to be a pro with Adobe AI
How DALL-E works and how to get the best out of it?
How to make the best prompts with Adobe Firefly AI tool and DALL-E
How to use a Pro tip to make most out of DALL-E and Adobe AI in minutes

Requirements

No prior experience is needed, just your attention will be appreciated

Description
Unleash Your Creativity with Adobe AI and DALL-E: Mastering AI Art and Content Generation from Scratch

Introducing Adobe AI: Transforming Creativity with Cutting-Edge Technology

In the landscape of creative tools, few match the innovation and prowess of Adobe AI. This dynamic platform serves as a gateway to a realm where creativity meets technological advancement. Leveraging the power of artificial intelligence, Adobe AI transcends conventional limitations, empowering creators to explore uncharted territories in artistry.

With Adobe AI, users delve into a world of boundless possibilities, harnessing the potential of machine learning and sophisticated algorithms. This toolset isn’t merely an evolution; it’s a revolution in the art of creation. From image manipulation to pattern recognition, Adobe AI seamlessly integrates cutting-edge technology into the artistic process, redefining the standards of creative excellence.

Discovering DALL-E: Redefining Content Generation through AI Wizardry

Dive into the avant-garde landscape of content creation with DALL-E, an AI-powered platform that redefines the boundaries of imagination. This groundbreaking tool transcends the conventional, enabling users to generate compelling, unique, and diverse content from scratch. With its state-of-the-art algorithms, DALL-E stands as a pioneer in the realm of AI content generation.

Unleashing the potential of natural language processing and image generation, DALL-E becomes a virtual artist, turning concepts into visuals and ideas into reality. Its prowess lies not just in its capability to create but in its ability to inspire creativity, pushing the boundaries of what’s possible in content generation.

The Course: Unveiling the Mastery of AI Art and Content Generation

Embark on a transformative journey into the realm of AI-powered creativity with our comprehensive course on Adobe AI and DALL-E. Designed for enthusiasts, professionals, and anyone intrigued by the fusion of art and technology, this course is an immersive experience that unlocks the full potential of these cutting-edge tools.

Course Overview

Our course is meticulously curated to equip you with the foundational knowledge and advanced techniques required to harness the potential of Adobe AI and DALL-E. Here’s a glimpse of what awaits you

Adobe AI Exploration

Understanding Adobe AI: Master the interface and functionalities of this groundbreaking tool.

Image Manipulation: Dive into advanced techniques to manipulate and enhance images effortlessly.

Pattern Recognition: Uncover the nuances of pattern recognition using AI-driven algorithms.

Creative Integration: Learn how to seamlessly integrate AI into your creative process for maximum impact.

DALL-E Expedition

Exploring DALL-E: Familiarize yourself with the interface and capabilities of DALL-E.

Content Generation: Delve into the art of generating diverse and captivating content using AI.

Natural Language Processing: Understand how to leverage language to inspire visual creations.

Innovative Applications: Explore unique applications and real-world scenarios for DALL-E.

Conclusion: Empowering Creativity with AI Mastery

As the creative landscape evolves, the fusion of artificial intelligence and creative expression emerges as a powerful force. Our course stands as a gateway to unlocking the full potential of Adobe Firefly AI and DALL-E, equipping you with the skills and knowledge to pioneer new frontiers in artistic creation.

Embrace this opportunity to transcend boundaries, unleash your creativity, and become a trailblazer in the captivating realm of AI art and content generation.

See you inside.

Your #1 fan,

Manas

Who this course is for
Data Scientists/Analysts: Individuals with a data analysis background looking to enhance their AI capabilities.
Marketers: Professionals in marketing and advertising seeking innovative AI-driven strategies.
People who want to learn about the future of AI. This includes anyone who wants to understand how AI is expected to impact our lives in the years to come.
Product Managers: Professionals responsible for product development who want to incorporate AI-powered features.
HR and Talent Managers: Those responsible for AI-related talent recruitment and management.
Students: who are interested in learning about AI and how it can be used in their studies and future careers.


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Cyber Security Awareness and Fraud Prevention Training


1.69 GB | 3min 17s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​
Files Included :
1 What’s in the topic.mp4 (25.01 MB)
2 Invisible Battlefield.mp4 (38.09 MB)
3 Tactic #1.mp4 (24.59 MB)
4 Tactic #2.mp4 (23.12 MB)
5 Tactic #3.mp4 (24.96 MB)
6 Your Defense.mp4 (15.05 MB)
7 What’s in the topic.mp4 (26.11 MB)
8 The Castle Under Siege.mp4 (31.3 MB)
9 The Human Factor.mp4 (30.67 MB)
10 The Rise of Threats.mp4 (24.48 MB)
11 Your Strongest Defence.mp4 (26.4 MB)
12 What’s in the topic.mp4 (25.52 MB)
13 Your Digital Door.mp4 (22.99 MB)
14 Crafting the Perfect Key.mp4 (35.09 MB)
15 Adding an Extra Lock.mp4 (20.73 MB)
16 Guarding Your Mail.mp4 (24.17 MB)
17 The Final Defense.mp4 (14.65 MB)
18 What’s in the topic.mp4 (26.25 MB)
19 Layer 1.mp4 (54.75 MB)
20 Layer 2.mp4 (29.47 MB)
21 Layer 3.mp4 (17.47 MB)
22 Layer 4.mp4 (23.72 MB)
23 What’s in the topic.mp4 (28.49 MB)
24 A Seemingly Innocent Lie.mp4 (33.32 MB)
25 What is Fraud Really.mp4 (16.21 MB)
26 The Three Faces of Fraud.mp4 (10.47 MB)
27 The Fraud Triangle.mp4 (28.84 MB)
28 Everyone Plays a Role.mp4 (18.09 MB)
29 What’s in the topic.mp4 (27.08 MB)
30 Why Fraud Matters.mp4 (35.51 MB)
31 Decoding Human Behavior.mp4 (30.14 MB)
32 Suspicious Actions.mp4 (19.06 MB)
33 Putting It All Together.mp4 (28.42 MB)
34 What’s in the topic.mp4 (27.9 MB)
35 The New Fraud Offence.mp4 (33.68 MB)
36 Your 5-Point Defence.mp4 (51.45 MB)
37 Controls in Action.mp4 (34.96 MB)
38 What’s in the topic.mp4 (25.25 MB)
39 The Unseen Threat.mp4 (25.5 MB)
40 Your Responsibility.mp4 (19.95 MB)
41 What Fraud Looks Like.mp4 (14.19 MB)
42 How To Report.mp4 (14.03 MB)
43 Protected, Not Penalized.mp4 (25.27 MB)
44 What’s in the topic.mp4 (29.51 MB)
45 The Threat From Outside.mp4 (23.93 MB)
46 Deception in Your Inbox.mp4 (27.44 MB)
47 Scams on the Phone.mp4 (25.99 MB)
48 Your Digital Defense Kit.mp4 (25.59 MB)
49 Guarding Business Gates.mp4 (22.6 MB)
50 What’s in the topic.mp4 (32.39 MB)
51 A Risky New World.mp4 (34.11 MB)
52 The Knights of Security.mp4 (16.83 MB)
53 What is the PCI DSS.mp4 (21 MB)
54 Cost of Non-Compliance.mp4 (22.06 MB)
55 Finding Your Level.mp4 (19.64 MB)
56 What’s in the topic.mp4 (24.34 MB)
57 What’s at Stake.mp4 (28.88 MB)
58 The Security Playbook.mp4 (13.11 MB)
59 Pillar 1 Build a Fortress.mp4 (19.42 MB)
60 Pillar 2 Guard Treasure.mp4 (39.1 MB)
61 Pillar 3 Stay Vigilant.mp4 (25.28 MB)
62 You Are the Key.mp4 (13.7 MB)
63 What’s in the topic.mp4 (24.1 MB)
64 Pillar 1 Access Control.mp4 (53.83 MB)
65 Pillar 2 Monitoring.mp4 (23.49 MB)
66 Pillar 3 The Policy.mp4 (20.72 MB)
67 Your Role in Security.mp4 (15.01 MB)]
Screenshot
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Customer Success With Chatgpt(Ai): Innovate Client Relations


Customer Success With Chatgpt(Ai): Innovate Client Relations
Last updated 7/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.50 GB | Duration: 3h 44m​

Optimize Customer Success with ChatGPT: Implementing AI Strategies for Enhanced Client Relations and Business Growth

What you’ll learn
Understanding ChatGPT’s capabilities in customer service
Applications of ChatGPT in enhancing customer interactions
Examples of ChatGPT in real-world customer service scenarios
Utilizing ChatGPT for automating responses
Tailoring ChatGPT for specific customer service needs
Strategies for efficient handling of customer inquiries
Best practices for integrating ChatGPT into workflows
Overcoming challenges in implementing ChatGPT
Case studies of successful ChatGPT implementations in e-commerce
Case studies of ChatGPT in healthcare applications
Case studies of ChatGPT in finance industries
Benefits of using ChatGPT for customer retention
Enhancing customer satisfaction with ChatGPT
Personalizing interactions using ChatGPT
Techniques for maintaining a natural conversation with ChatGPT
Role-playing scenarios for practical learning
Handling customer complaints using ChatGPT
Assisting with product issues through ChatGPT
Answering service-related queries with ChatGPT
Strategies for maintaining a positive user experience
Implementing conversational design principles
Ensuring consistency in ChatGPT’s tone and language
Using ChatGPT analytics for response accuracy
Analyzing metrics to improve ChatGPT performance
Strategies for addressing user queries proactively
Personalizing interactions to enhance engagement
Continuous improvement based on customer feedback
Agile adaptation of ChatGPT to user needs
Defining KPIs for measuring ChatGPT effectiveness
Establishing benchmarks for response accuracy
Incorporating feedback loops for improvement
Designing a ChatGPT implementation plan
Setting up ChatGPT for Revolut support via Slack
Demo on handling common customer requests in Revolut
Practical exercises on crafting ChatGPT responses
Enhancing customer success with AI tools like ChatGPT

Requirements
Basic understanding of customer service principles
Interest in leveraging AI for enhancing customer interactions
No programming experience is needed for this course
Ability to analyze data for improving ChatGPT performance

Description
Step into the cutting-edge realm of customer success and client relations with our intensive course on maximizing ChatGPT. Tailored for proactive professionals and businesses, this program delves into the evolution and robust capabilities of ChatGPT, charting its transformative impact on customer interactions. Participants will explore practical applications spanning diverse sectors, from optimizing customer inquiries for e-commerce giants to bolstering patient support in healthcare settings. Through immersive case studies and interactive simulations, you’ll gain proficiency in automating responses, managing complex queries, and fine-tuning ChatGPT’s performance using advanced analytics.The curriculum emphasizes customizing ChatGPT to meet specific customer success objectives, seamlessly integrating it into existing operational frameworks. Practical exercises and simulated scenarios will refine your skills in addressing client concerns, resolving product-related issues, and delivering authoritative insights on services. We’ll analyze successful implementations across finance, healthcare, and other domains, providing strategies to enhance customer satisfaction and retention rates.By course completion, you’ll be equipped to deploy ChatGPT effectively, driving heightened client engagement, satisfaction, and overall business triumph. Whether you’re an experienced customer success professional aiming to innovate your strategies or a business leader striving for excellence in a competitive landscape, this course empowers you to harness AI-driven customer success strategies with ChatGPT to their fullest potential.

Who this course is for:
Business owners looking to integrate AI into their customer service strategies,Sales representatives interested in leveraging AI tools like ChatGPT for sales success,Customer service professionals aiming to enhance efficiency and customer satisfaction,Individuals curious about AI applications in real-world scenarios,Anyone seeking to improve their understanding and implementation of ChatGPT in diverse industries,Sales and Customer Success Professionals

For More Courses Visit & Bookmark Your Preferred Language Blog
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Cursor: Coding with AI


Cursor: Coding with AI
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 2h 45m | 434 MB
Instructor: Elvis Saravia​

Learn how to code and build AI-powered web applications with Cursor.

What you will learn

  • Learn how to use the most important AI-powered features in Cursor
  • Best practices and tips for how to best leverage Cursor capabilities like Chat and Composer
  • Build web applications using Cursor Composer Agents

    OVERVIEW

    This course focuses on teaching how to code with AI and build AI-powered applications with Cursor.

    After completing the course, students will have a solid understanding of how to use Cursor and how to build web applications with it.

    PREREQUISITES

    All the code examples are built around Python so a basic understanding of Python is required.

    The main tool you will use is Cursor. More details and instructions about how to install Cursor are provided in the course.

    We also recommend you get a Pro account for Cursor. You could get started with the 14-day trial but keep in mind that there might be differences in functionalities and behaviors.

    You will also need an OpenAI paid account to access your own API Keys. This will be needed for the final project.

    TOPICS

    Key concepts covered in the course include:

    • Cursor Introduction: An introduction to Cursor, including installation steps, settings, pricing, and how to set up your environment.
    • Cursor Tab: Covers all the autocomplete capabilities of Cursor and scenarios where to use or combine features like Cursor Prediction and Multi-Edits.
    • Cursor Chat: Students will learn best practices for how to explore codebases with Chat and different approaches for how to optimize context to get the best results from the AI and improve your coding workflow.
    • Cmd K: Leverage AI coding capabilities right from the editor and terminal.
    • Cursor Composer: Provides a comprehensive overview of Composer agents and how to build web applications.

    More Info

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    Crypto and Blockchain for Beginners The Ultimate Guide

    Crypto and Blockchain for Beginners The Ultimate Guide

    File INFO:
    Name: 1 Rapid Fire Q&A
    Format:mp4
    Size: 3.69 GB
    Duration:00:11:08 Click to expand…

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    Critical NetWork Services DNS, DHCP, and NAT


    Released 3/2026 By Andrew Mallett MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 25m 58s | Size: 203 MB​

    Many entry-level administrators struggle to understand how essential network services work together to keep systems connected and secure.

    What you’ll learn
    Many entry-level administrators struggle to understand how essential network services work together to keep systems connected and secure. In this course, Critical Network Services DNS, DHCP, and NAT, you’ll gain the ability to configure, manage, and troubleshoot core network services with confidence. First, you’ll explore how DNS enables name resolution across networks. Next, you’ll discover how DHCP automates IP address assignment and network configuration. Finally, you’ll learn how to implement and manage NAT to allow secure communication between internal and external networks. When you’re finished with this course, you’ll have the skills and knowledge of critical network services needed to support and maintain small to medium-sized networks in an entry-level administrator role.

    Welcome to Check it Every Days
    If you have any troubles with downloading, PM me

    Happy Learning!!


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    Creating Personal AI Agents (2026)


    Released 03/2026 By Kamran Ayub MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 51m 8s | Size: 219 MB​

    How can AI agents help you save time and boost productivity without wasting effort? In this course, Creating Personal AI Agents, you’ll learn to develop and apply custom AI agents for professional use.

    What you’ll learn
    How can AI agents help you save time and boost productivity without wasting effort? In this course, Creating Personal AI Agents, you’ll learn to develop and apply custom AI agents for professional use. First, you’ll explore how to build simple AI agents using foundational concepts like ReAct. Next, you’ll discover how to customize agents for specific tasks using no-code and low-code tools. Finally, you’ll learn how to integrate AI agents responsibly by following ethical considerations and best practices. When you’re finished with this course, you’ll have the skills and knowledge needed to design effective AI agents, streamline your workflows, and enhance your productivity.

    Welcome to Check it Every Days
    If you have any troubles with downloading, PM me

    Happy Learning!!


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